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2024
[j81]
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Malamati D. Louta, Chiara Boldrini, Francesco Bonchi, Symeon Papavassiliou, De-Nian Yang:
Guest Editorial: Social-Aware Communication Networks and Systems and Innovative Social Network Applications and Services. IEEE Commun. Mag. 62(5): 20 (2024)
[j80]
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Tommaso Lanciano, Atsushi Miyauchi, Adriano Fazzone, Francesco Bonchi:
A Survey on the Densest Subgraph Problem and its Variants. ACM Comput. Surv. 56(8): 208:1-208:40 (2024)
[j79]
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Antonio Ferrara, Francesco Bonchi, Francesco Fabbri, Fariba Karimi, Claudia Wagner:
Bias-aware ranking from pairwise comparisons. Data Min. Knowl. Discov. 38(4): 2062-2086 (2024)
[j78]
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Eliana Pastor, Francesco Bonchi:
Intersectional fair ranking via subgroup divergence. Data Min. Knowl. Discov. 38(4): 2186-2222 (2024)
[j77]
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Oana Balalau, Francesco Bonchi, T.-H. Hubert Chan, Francesco Gullo, Mauro Sozio, Hao Xie:
Finding Subgraphs with Maximum Total Density and Limited Overlap in Weighted Hypergraphs. ACM Trans. Knowl. Discov. Data 18(4): 95:1-95:21 (2024)
[j76]
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Adriano Fazzone, Yanhao Wang, Francesco Bonchi:
Fair Representation in Submodular Subset Selection: A Pareto Optimization Approach. Trans. Mach. Learn. Res. 2024 (2024)
[j75]
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Corrado Monti, Paolo Bajardi, Francesco Bonchi, André Panisson, Alan Perotti:
A True-to-the-model Axiomatic Benchmark for Graph-based Explainers. Trans. Mach. Learn. Res. 2024 (2024)
[j74]
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Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa:
Learning Multi-Frequency Partial Correlation Graphs. IEEE Trans. Signal Process. 72: 2953-2969 (2024)
[j73]
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Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
Hyper-distance oracles in hypergraphs. VLDB J. 33(5): 1333-1356 (2024)
[c157]
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  - conf/cikm/MiniciCB024
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Marco Minici, Federico Cinus, Francesco Bonchi, Giuseppe Manco:
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. CIKM 2024: 1689-1699
[c156]
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Gabriele D'Acunto, Francesco Bonchi, Gianmarco De Francisci Morales, Giovanni Petri:
Extracting the Multiscale Causal Backbone of Brain Dynamics. CLeaR 2024: 265-295
[c155]
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Naheed Anjum Arafat, Ehsan Bonabi Mobaraki, Arijit Khan, Yllka Velaj, Francesco Bonchi:
Estimate and Reduce Uncertainty in Uncertain Graphs. DSAA 2024: 1-12
[c154]
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Yanhao Wang, Yuchen Li, Francesco Bonchi, Ying Wang:
Balancing Utility and Fairness in Submodular Maximization. EDBT 2024: 1-14
[c153]
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Atsushi Miyauchi, Lorenzo Severini, Francesco Bonchi:
Local Centrality Minimization with Quality Guarantees. WWW 2024: 410-421
[c152]
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Carlo Abrate, Federico Siciliano, Francesco Bonchi, Fabrizio Silvestri:
Human-in-the-Loop Personalized Counterfactual Recourse. xAI (3) 2024: 18-38
[e25]
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Ricardo Baeza-Yates, Francesco Bonchi:
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024. ACM 2024, ISBN 979-8-4007-0490-1 [contents]
[i67]
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  - journals/corr/abs-2401-16088
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Andrew Bell, João Fonseca, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich:
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity. CoRR abs/2401.16088 (2024)
[i66]
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Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen:
Query-Efficient Correlation Clustering with Noisy Oracle. CoRR abs/2402.01400 (2024)
[i65]
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  - journals/corr/abs-2402-07718
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Atsushi Miyauchi, Lorenzo Severini, Francesco Bonchi:
Local Centrality Minimization with Quality Guarantees. CoRR abs/2402.07718 (2024)
[i64]
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  - journals/corr/abs-2404-16676
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Atsushi Miyauchi, Florian Adriaens, Francesco Bonchi, Nikolaj Tatti:
Multilayer Correlation Clustering. CoRR abs/2404.16676 (2024)
[i63]
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  - journals/corr/abs-2407-15643
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Marco Minici, Federico Cinus, Francesco Bonchi, Giuseppe Manco:
Link Polarity Prediction from Sparse and Noisy Labels via Multiscale Social Balance. CoRR abs/2407.15643 (2024)
[i62]
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  - journals/corr/abs-2409-16478
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Erica Coppolillo, Simone Mungari, Ettore Ritacco, Francesco Fabbri, Marco Minici, Francesco Bonchi, Giuseppe Manco:
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences. CoRR abs/2409.16478 (2024)
2023
[j72]
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Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi:
Learning Multiscale Non-stationary Causal Structures. Trans. Mach. Learn. Res. 2023 (2023)
[c151]
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Lorenzo Betti, Carlo Abrate, Francesco Bonchi, Andreas Kaltenbrunner:
Relevance-based Infilling for Natural Language Counterfactuals. CIKM 2023: 88-98
[c150]
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Federico Cinus, Aristides Gionis, Francesco Bonchi:
Rebalancing Social Feed to Minimize Polarization and Disagreement. CIKM 2023: 369-378
[c149]
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João Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich:
Setting the Right Expectations: Algorithmic Recourse Over Time. EAAMO 2023: 29:1-29:11
[c148]
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Flavio Petruzzellis, Francesco Bonchi, Gianmarco De Francisci Morales, Corrado Monti:
On the Relation between Opinion Change and Information Consumption on Reddit. ICWSM 2023: 710-719
[c147]
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Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract). IJCAI 2023: 6431-6435
[c146]
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Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson:
Explaining Identity-aware Graph Classifiers through the Language of Motifs. IJCNN 2023: 1-8
[c145]
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Carlo Abrate, Giulia Preti, Francesco Bonchi:
Counterfactual Explanations for Graph Classification Through the Lenses of Density. xAI (1) 2023: 324-348
[e24]
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Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14169, Springer 2023, ISBN 978-3-031-43411-2 [contents]
[e23]
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Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14170, Springer 2023, ISBN 978-3-031-43414-3 [contents]
[e22]
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Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14171, Springer 2023, ISBN 978-3-031-43417-4 [contents]
[e21]
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Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14172, Springer 2023, ISBN 978-3-031-43420-4 [contents]
[e20]
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Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14173, Springer 2023, ISBN 978-3-031-43423-5 [contents]
[e19]
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Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14174, Springer 2023, ISBN 978-3-031-43426-6 [contents]
[e18]
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Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14175, Springer 2023, ISBN 978-3-031-43429-7 [contents]
[i61]
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  - journals/corr/abs-2303-14467
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Tommaso Lanciano, Atsushi Miyauchi, Adriano Fazzone, Francesco Bonchi:
A Survey on the Densest Subgraph Problem and its Variants. CoRR abs/2303.14467 (2023)
[i60]
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  - journals/corr/abs-2306-02696
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Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
Hyper-distance Oracles in Hypergraphs. CoRR abs/2306.02696 (2023)
[i59]
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Francesco Bonchi, Claudio Gentile, André Panisson, Fabio Vitale:
Fast and Effective GNN Training with Linearized Random Spanning Trees. CoRR abs/2306.04828 (2023)
[i58]
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Carlo Abrate, Giulia Preti, Francesco Bonchi:
Counterfactual Explanations for Graph Classification Through the Lenses of Density. CoRR abs/2307.14849 (2023)
[i57]
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  - journals/corr/abs-2308-14486
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Federico Cinus, Aristides Gionis, Francesco Bonchi:
Rebalancing Social Feed to Minimize Polarization and Disagreement. CoRR abs/2308.14486 (2023)
[i56]
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  - journals/corr/abs-2309-06969
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João Fonseca, Andrew Bell, Carlo Abrate, Francesco Bonchi, Julia Stoyanovich:
Setting the Right Expectations: Algorithmic Recourse Over Time. CoRR abs/2309.06969 (2023)
[i55]
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  - journals/corr/abs-2311-00118
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Gabriele D'Acunto, Francesco Bonchi, Gianmarco De Francisci Morales, Giovanni Petri:
Extracting the Multiscale Causal Backbone of Brain Dynamics. CoRR abs/2311.00118 (2023)
[i54]
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  - journals/corr/abs-2311-15756
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Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa:
Learning Multi-Frequency Partial Correlation Graphs. CoRR abs/2311.15756 (2023)
2022
[b1]
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Francesco Bonchi, David García-Soriano, Francesco Gullo:
Correlation Clustering. Synthesis Lectures on Data Mining and Knowledge Discovery, Springer 2022, ISBN 978-3-031-79198-7, pp. 1-133
[j71]
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Meike Zehlike, Tom Sühr, Ricardo Baeza-Yates, Francesco Bonchi, Carlos Castillo, Sara Hajian:
Fair Top-k Ranking with multiple protected groups. Inf. Process. Manag. 59(1): 102707 (2022)
[j70]
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Adriano Fazzone, Tommaso Lanciano, Riccardo Denni, Charalampos E. Tsourakakis, Francesco Bonchi:
Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers. Proc. VLDB Endow. 15(13): 3883-3896 (2022)
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Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. ACM Trans. Knowl. Discov. Data 16(5): 82:1-82:30 (2022)
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Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CIKM 2022: 1511-1520
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Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi:
The Effect of People Recommenders on Echo Chambers and Polarization. ICWSM 2022: 90-101
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Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. ICWSM 2022: 194-204
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Tianyi Chen, Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Dense and well-connected subgraph detection in dual networks. SDM 2022: 361-369
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Sara De Candia, Gianmarco De Francisci Morales, Corrado Monti, Francesco Bonchi:
Social Norms on Reddit: A Demographic Analysis✱. WebSci 2022: 139-147
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Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
FreSCo: Mining Frequent Patterns in Simplicial Complexes. WWW 2022: 1444-1454
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Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. WWW 2022: 2719-2728
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Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
FreSCo: Mining Frequent Patterns in Simplicial Complexes. CoRR abs/2201.08005 (2022)
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Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. CoRR abs/2202.00640 (2022)
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Alan Perotti, Paolo Bajardi, Francesco Bonchi, André Panisson:
GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers. CoRR abs/2202.08815 (2022)
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Corrado Monti, Marco Pangallo, Gianmarco De Francisci Morales, Francesco Bonchi:
On learning agent-based models from data. CoRR abs/2205.05052 (2022)
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Flavio Petruzzellis, Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
On the Relation Between Opinion Change and Information Consumption on Reddit. CoRR abs/2207.12196 (2022)
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Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. CoRR abs/2208.04620 (2022)
[i47]
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Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi:
Multiscale Non-stationary Causal Structure Learning from Time Series Data. CoRR abs/2208.14989 (2022)
[i46]
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Corrado Monti, Luca Maria Aiello, Gianmarco De Francisci Morales, Francesco Bonchi:
The language of opinion change on social media under the lens of communicative action. CoRR abs/2210.17234 (2022)
[i45]
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Yanhao Wang, Yuchen Li, Francesco Bonchi, Ying Wang:
Balancing Utility and Fairness in Submodular Maximization (Technical Report). CoRR abs/2211.00980 (2022)
2021
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Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Finding densest k-connected subgraphs. Discret. Appl. Math. 305: 34-47 (2021)
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Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23(S1): 1-6 (2021)
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Arkaprava Saha, Ruben Brokkelkamp, Yllka Velaj, Arijit Khan, Francesco Bonchi:
Shortest Paths and Centrality in Uncertain Networks. Proc. VLDB Endow. 14(7): 1188-1201 (2021)
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Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. ACM Trans. Knowl. Discov. Data 15(1): 2:1-2:44 (2021)
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David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi:
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. AIES 2021: 978-988
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Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. CIKM 2021: 1325-1334
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Gabriele D'Acunto, Paolo Bajardi, Francesco Bonchi, Gianmarco De Francisci Morales:
The evolving causal structure of equity risk factors. ICAIF 2021: 5:1-5:8
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David García-Soriano, Francesco Bonchi:
Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints. KDD 2021: 436-446
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Carlo Abrate, Francesco Bonchi:
Counterfactual Graphs for Explainable Classification of Brain Networks. KDD 2021: 2495-2504
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Federico Cinus, Francesco Bonchi, Corrado Monti, André Panisson:
WoMG: A Library for Word-of-Mouth Cascades Generation. WSDM 2021: 1065-1068
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Zitan Sun, Xin Huang, Jianliang Xu, Francesco Bonchi:
Efficient Probabilistic Truss Indexing on Uncertain Graphs. WWW 2021: 354-366
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Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
STruD: Truss Decomposition of Simplicial Complexes. WWW 2021: 3408-3418
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Lluís Garcia Pueyo, Anand Bhaskar, Prathyusha Senthil Kumar, Panayiotis Tsaparas, Kiran Garimella, Yu Sun, Francesco Bonchi:
Proceedings of the Workshop on Misinformation Integrity in Social Networks 2021 co-located with 30th The Web Conference (TheWebConf 2021), Ljubljana, Slovenia, April 15, 2021. CEUR Workshop Proceedings 2890, CEUR-WS.org 2021 [contents]
[i44]
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Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
STruD: Truss Decomposition of Simplicial Complexes. CoRR abs/2102.07564 (2021)
[i43]
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Carlo Abrate, Francesco Bonchi:
Counterfactual Graphs for Explainable Classification of Brain Networks. CoRR abs/2106.08640 (2021)
[i42]
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David García-Soriano, Francesco Bonchi:
Maxmin-Fair Ranking: Individual Fairness under Group-Fairness Constraints. CoRR abs/2106.08652 (2021)
[i41]
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Corrado Monti, Giuseppe Manco, Çigdem Aslay, Francesco Bonchi:
Learning Ideological Embeddings from Information Cascades. CoRR abs/2109.13589 (2021)
[i40]
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Gabriele D'Acunto, Paolo Bajardi, Francesco Bonchi, Gianmarco De Francisci Morales:
The Evolving Causal Structure of Equity Risk Factors. CoRR abs/2111.05072 (2021)
[i39]
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Federico Cinus, Marco Minici, Corrado Monti, Francesco Bonchi:
The Effect of People Recommenders on Echo Chambers and Polarization. CoRR abs/2112.00626 (2021)
[i38]
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Tianyi Chen, Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Dense and well-connected subgraph detection in dual networks. CoRR abs/2112.03337 (2021)
[i37]
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Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. CoRR abs/2112.08237 (2021)
[i36]
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Xiangyu Ke, Arijit Khan, Francesco Bonchi:
Multi-relation Graph Summarization. CoRR abs/2112.15488 (2021)
2020
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David García-Soriano, Francesco Bonchi:
Fair-by-design matching. Data Min. Knowl. Discov. 34(5): 1291-1335 (2020)
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Bora Edizel, Francesco Bonchi, Sara Hajian, André Panisson, Tamir Tassa:
FaiRecSys: mitigating algorithmic bias in recommender systems. Int. J. Data Sci. Anal. 9(2): 197-213 (2020)
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Ioanna Tsalouchidou, Ricardo Baeza-Yates, Francesco Bonchi, Kewen Liao, Timos Sellis:
Temporal betweenness centrality in dynamic graphs. Int. J. Data Sci. Anal. 9(3): 257-272 (2020)
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Francesco Bonchi, Sara Hajian, Bud Mishra, Daniele Ramazzotti:
Correction to: Exposing the probabilistic causal structure of discrimination. Int. J. Data Sci. Anal. 9(3): 373 (2020)
[j60]
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Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti:
Finding events in temporal networks: segmentation meets densest subgraph discovery. Knowl. Inf. Syst. 62(4): 1611-1639 (2020)
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Tom Rolandus Hagedoorn, Rohit Kumar, Francesco Bonchi:
X²R²: a Tool for Explainable and Explorative Reidentification Risk Analysis. Proc. VLDB Endow. 13(12): 2929-2932 (2020)
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Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13(1): 61-66 (2020)
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Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano:
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications. ACM Trans. Knowl. Discov. Data 14(1): 11:1-11:40 (2020)
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Ioanna Tsalouchidou, Francesco Bonchi, Gianmarco De Francisci Morales, Ricardo Baeza-Yates:
Scalable Dynamic Graph Summarization. IEEE Trans. Knowl. Data Eng. 32(2): 360-373 (2020)
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Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates:
Adaptive Community Search in Dynamic Networks. IEEE BigData 2020: 987-995
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Federico Cinus, Francesco Bonchi, Corrado Monti, André Panisson:
Generating Realistic Interest-Driven Information Cascades. ICWSM 2020: 107-118
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Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo:
The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. ICWSM 2020: 165-175
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Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Learning Opinion Dynamics From Social Traces. KDD 2020: 764-773
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Tommaso Lanciano, Francesco Bonchi, Aristides Gionis:
Explainable Classification of Brain Networks via Contrast Subgraphs. KDD 2020: 3308-3318
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Francesco Bonchi, Lorenzo Severini, Mauro Sozio:
Better Fewer but Better: Community Search with Outliers. WI/IAT 2020: 105-112
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Joan Massachs, Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Roots of Trumpism: Homophily and Social Feedbackin Donald Trump Support on Reddit. WebSci 2020: 49-58
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Antonio Caliò, Andrea Tagarelli, Francesco Bonchi:
Cores matter? An analysis of graph decomposition effects on influence maximization problems. WebSci 2020: 184-193
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David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis:
Query-Efficient Correlation Clustering. WWW 2020: 1468-1478
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M. Arif Wani, Feng Luo, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi:
19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020. IEEE 2020, ISBN 978-1-7281-8470-8 [contents]
[i35]
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David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis:
Query-Efficient Correlation Clustering. CoRR abs/2002.11557 (2020)
[i34]
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Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR abs/2004.05222 (2020)
[i33]
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Joan Massachs, Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Roots of Trumpism: Homophily and Social Feedback in Donald Trump Support on Reddit. CoRR abs/2005.01790 (2020)
[i32]
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Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi:
Learning Opinion Dynamics From Social Traces. CoRR abs/2006.01673 (2020)
[i31]
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Tommaso Lanciano, Francesco Bonchi, Aristides Gionis:
Explainable Classification of Brain Networks via Contrast Subgraphs. CoRR abs/2006.05176 (2020)
[i30]
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Francesco Bonchi, David García-Soriano, Atsushi Miyauchi, Charalampos E. Tsourakakis:
Finding Densest k-Connected Subgraphs. CoRR abs/2007.01533 (2020)
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Ioanna Tsalouchidou, Francesco Bonchi, Ricardo Baeza-Yates:
Adaptive Community Search in Dynamic Networks. CoRR abs/2011.05353 (2020)
[i28]
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Francesco Bonchi, Lorenzo Severini, Mauro Sozio:
Better Fewer but Better: Community Search with Outliers. CoRR abs/2012.00356 (2020)

2010 – 2019

see FAQ

What is the meaning of the colors in the publication lists?

2019
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Francesco Bonchi, Ilaria Bordino, Francesco Gullo, Giovanni Stilo:
The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphs. Web Intell. 17(3): 177-198 (2019)
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Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. CIKM 2019: 961-970
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Edoardo Galimberti, Chiara Madeddu, Francesco Bonchi, Giancarlo Ruffo:
Visualizing Structural Balance in Signed Networks. COMPLEX NETWORKS (2) 2019: 53-65
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Panos Parchas, Nikolaos Papailiou, Dimitris Papadias, Francesco Bonchi:
Uncertain Graph Sparsification (Extended Abstract). ICDE 2019: 2141-2142
[c117]
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H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich:
The Responsibility Challenge for Data. SIGMOD Conference 2019: 412-414
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Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. SIGMOD Conference 2019: 1006-1023
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Francesco Bonchi:
Distance-Based Community Search (Invited Talk Extended Abstract). SOFSEM 2019: 21-27
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Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018. CEUR Workshop Proceedings 2482, CEUR-WS.org 2019 [contents]
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Lisa Singh, Richard D. De Veaux, George Karypis, Francesco Bonchi, Jennifer Hill:
2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019, Washington, DC, USA, October 5-8, 2019. IEEE 2019, ISBN 978-1-7281-4493-1 [contents]
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Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11051, Springer 2019, ISBN 978-3-030-10924-0 [contents]
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Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11052, Springer 2019, ISBN 978-3-030-10927-1 [contents]
[i27]
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Francesco Bonchi, Arijit Khan, Lorenzo Severini:
Distance-generalized Core Decomposition. CoRR abs/1904.07262 (2019)
[i26]
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Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. CoRR abs/1910.02438 (2019)
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Edoardo Galimberti, Martino Ciaperoni, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Span-core Decomposition for Temporal Networks: Algorithms and Applications. CoRR abs/1910.03645 (2019)
[i24]
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Edoardo Galimberti, Chiara Madeddu, Francesco Bonchi, Giancarlo Ruffo:
Visualizing structural balance in signed networks. CoRR abs/1912.00238 (2019)
2018
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Francesco Bonchi, Peter Dolog, Denis Helic, Peter Vojtás:
Invited papers from the ACM conference on hypertext and social media. New Rev. Hypermedia Multim. 24(2): 61-62 (2018)
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Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer:
Conditional Reliability in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 30(11): 2078-2092 (2018)
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Panos Parchas, Nikolaos Papailiou, Dimitris Papadias, Francesco Bonchi:
Uncertain Graph Sparsification. IEEE Trans. Knowl. Data Eng. 30(12): 2435-2449 (2018)
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Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Mining (maximal) Span-cores from Temporal Networks. CIKM 2018: 107-116
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Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti:
Probabilistic Causal Analysis of Social Influence. CIKM 2018: 1003-1012
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Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
CIKM 2018 Co-Located Workshops Summary. CIKM 2018: 2309-2311
[c111]
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Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
CIKM 2018 Workshops: Preface. CIKM Workshops 2018
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Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti:
Finding Events in Temporal Networks: Segmentation Meets Densest-Subgraph Discovery. ICDM 2018: 397-406
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Danai Koutra, Jilles Vreeken, Francesco Bonchi:
Summarizing Graphs at Multiple Scales: New Trends. ICDM 2018: 1097
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Francesco Bonchi, Foster J. Provost, Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Rayid Ghani:
5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, October 1-3, 2018. IEEE 2018, ISBN 978-1-5386-5090-5 [contents]
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Francesco Bonchi, Francesco Gullo, Andreas Kaltenbrunner:
Core Decomposition of Massive, Information-Rich Graphs. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
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David García-Soriano, Francesco Bonchi:
Fair-by-design algorithms: matching problems and beyond. CoRR abs/1802.02562 (2018)
[i22]
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Francesco Bonchi, Francesco Gullo, Bud Mishra, Daniele Ramazzotti:
Probabilistic Causal Analysis of Social Influence. CoRR abs/1808.02129 (2018)
[i21]
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Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, Nikolaj Tatti:
Finding events in temporal networks: Segmentation meets densest-subgraph discovery. CoRR abs/1808.09317 (2018)
[i20]
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Edoardo Galimberti, Alain Barrat, Francesco Bonchi, Ciro Cattuto, Francesco Gullo:
Mining (maximal) span-cores from temporal networks. CoRR abs/1808.09376 (2018)
[i19]
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Edoardo Galimberti, Francesco Bonchi, Francesco Gullo, Tommaso Lanciano:
Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications. CoRR abs/1812.08712 (2018)
2017
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Matteo Riondato, David García-Soriano, Francesco Bonchi:
Graph summarization with quality guarantees. Data Min. Knowl. Discov. 31(2): 314-349 (2017)
[j50]
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Francesco Bonchi, Sara Hajian, Bud Mishra, Daniele Ramazzotti:
Exposing the probabilistic causal structure of discrimination. Int. J. Data Sci. Anal. 3(1): 1-21 (2017)
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Çigdem Aslay, Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu:
Revenue Maximization in Incentivized Social Advertising. Proc. VLDB Endow. 10(11): 1238-1249 (2017)
[j48]
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Arijit Khan, Sourav S. Bhowmick, Francesco Bonchi:
Summarizing Static and Dynamic Big Graphs. Proc. VLDB Endow. 10(12): 1981-1984 (2017)
[j47]
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Peter Dolog, Peter Vojtás, Francesco Bonchi, Denis Helic:
28th ACM International Conference on Hypertext and Social Media. SIGWEB Newsl. 2017(Winter): 2:1-2:8 (2017)
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Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Efficient Methods for Influence-Based Network-Oblivious Community Detection. ACM Trans. Intell. Syst. Technol. 8(2): 32:1-32:31 (2017)
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Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem. CIKM 2017: 879-888
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Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates:
FA*IR: A Fair Top-k Ranking Algorithm. CIKM 2017: 1569-1578
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Edoardo Galimberti, Francesco Bonchi, Francesco Gullo:
Core Decomposition and Densest Subgraph in Multilayer Networks. CIKM 2017: 1807-1816
[c105]
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Francesco Bonchi:
On Information Propagation, Social Influence, and Communities. DATA 2017: 7
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Gilad Asharov, Francesco Bonchi, David García-Soriano, Tamir Tassa:
Secure Centrality Computation Over Multiple Networks. WWW 2017: 957-966
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Peter Dolog, Peter Vojtás, Francesco Bonchi, Denis Helic:
Proceedings of the 28th ACM Conference on Hypertext and Social Media, HT 2017, Prague, Czech Republic, July 4-7, 2017. ACM 2017, ISBN 978-1-4503-4708-2 [contents]
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Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates:
FA*IR: A Fair Top-k Ranking Algorithm. CoRR abs/1706.06368 (2017)
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Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem. CoRR abs/1709.01123 (2017)
2016
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Yasir Mehmood, Nicola Barbieri, Francesco Bonchi:
Modeling adoptions and the stages of the diffusion of innovations. Knowl. Inf. Syst. 48(1): 1-27 (2016)
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Sara Hajian, Tamir Tassa, Francesco Bonchi:
Individual privacy in social influence networks. Soc. Netw. Anal. Min. 6(1): 2:1-2:14 (2016)
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Ioanna Tsalouchidou, Gianmarco De Francisci Morales, Francesco Bonchi, Ricardo Baeza-Yates:
Scalable dynamic graph summarization. IEEE BigData 2016: 1032-1039
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Nicolas Kourtellis, Gianmarco De Francisci Morales, Francesco Bonchi:
Scalable online betweenness centrality in evolving graphs. ICDE 2016: 1580-1581
[c101]
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Sara Hajian, Francesco Bonchi, Carlos Castillo:
Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining. KDD 2016: 2125-2126
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Yasir Mehmood, Francesco Bonchi, David García-Soriano:
Spheres of Influence for More Effective Viral Marketing. SIGMOD Conference 2016: 711-726
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Francesco Bonchi, Ilaria Bordino, Francesco Gullo, Giovanni Stilo:
Identifying Buzzing Stories via Anomalous Temporal Subgraph Discovery. WI 2016: 161-168
[c98]
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Francesco Bonchi, Gianmarco De Francisci Morales, Matteo Riondato:
Centrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms. WWW (Companion Volume) 2016: 1017-1020
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Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016 [contents]
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Carlotta Domeniconi, Francesco Gullo, Francesco Bonchi, Josep Domingo-Ferrer, Ricardo Baeza-Yates, Zhi-Hua Zhou, Xindong Wu:
IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain. IEEE Computer Society 2016 [contents]
[i16]
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Arijit Khan, Francesco Bonchi, Francesco Gullo, Andreas Nufer:
Conditional Reliability in Uncertain Graphs. CoRR abs/1608.04474 (2016)
[i15]
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Panos Parchas, Nikolaos Papailiou, Dimitris Papadias, Francesco Bonchi:
Uncertain Graph Sparsification. CoRR abs/1611.04308 (2016)
[i14]
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Çigdem Aslay, Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu:
Revenue Maximization in Incentivized Social Advertising. CoRR abs/1612.00531 (2016)
2015
[j43]
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Nicola Barbieri, Francesco Bonchi, Edoardo Galimberti, Francesco Gullo:
Efficient and effective community search. Data Min. Knowl. Discov. 29(5): 1406-1433 (2015)
[j42]
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Çigdem Aslay, Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan:
Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret. Proc. VLDB Endow. 8(7): 822-833 (2015)
[j41]
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Francesco Bonchi, Aristides Gionis, Francesco Gullo, Charalampos E. Tsourakakis, Antti Ukkonen:
Chromatic Correlation Clustering. ACM Trans. Knowl. Discov. Data 9(4): 34:1-34:24 (2015)
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Nicolas Kourtellis, Gianmarco De Francisci Morales, Francesco Bonchi:
Scalable Online Betweenness Centrality in Evolving Graphs. IEEE Trans. Knowl. Data Eng. 27(9): 2494-2506 (2015)
[j39]
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Panos Parchas, Francesco Gullo, Dimitris Papadias, Francesco Bonchi:
Uncertain Graph Processing through Representative Instances. ACM Trans. Database Syst. 40(3): 20:1-20:39 (2015)
[c97]
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Md. Imrul Kayes, Nicolas Kourtellis, Francesco Bonchi, Adriana Iamnitchi:
Privacy Concerns vs. User Behavior in Community Question Answering. ASONAM 2015: 681-688
[c96]
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Arijit Khan, Francesco Gullo, Thomas Wohler, Francesco Bonchi:
Top-k Reliable Edge Colors in Uncertain Graphs. CIKM 2015: 1851-1854
[c95]
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Md. Imrul Kayes, Nicolas Kourtellis, Daniele Quercia, Adriana Iamnitchi, Francesco Bonchi:
Cultures in Community Question Answering. HT 2015: 175-184
[c94]
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Carmen Karina Vaca Ruiz, Daniele Quercia, Francesco Bonchi, Piero Fraternali:
Taxonomy-Based Discovery and Annotation of Functional Areas in the City. ICWSM 2015: 445-453
[c93]
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Davide Mottin, Francesco Bonchi, Francesco Gullo:
Graph Query Reformulation with Diversity. KDD 2015: 825-834
[c92]
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Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
The Minimum Wiener Connector Problem. SIGMOD Conference 2015: 1587-1602
[c91]
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Oana Denisa Balalau, Francesco Bonchi, T.-H. Hubert Chan, Francesco Gullo, Mauro Sozio:
Finding Subgraphs with Maximum Total Density and Limited Overlap. WSDM 2015: 379-388
[c90]
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Md. Imrul Kayes, Nicolas Kourtellis, Daniele Quercia, Adriana Iamnitchi, Francesco Bonchi:
The Social World of Content Abusers in Community Question Answering. WWW 2015: 570-580
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Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9286, Springer 2015, ISBN 978-3-319-23460-1 [contents]
[i13]
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Natali Ruchansky, Francesco Bonchi, David García-Soriano, Francesco Gullo, Nicolas Kourtellis:
The Minimum Wiener Connector. CoRR abs/1504.00513 (2015)
[i12]
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Md. Imrul Kayes, Nicolas Kourtellis, Daniele Quercia, Adriana Iamnitchi, Francesco Bonchi:
The Social World of Content Abusers in Community Question Answering. CoRR abs/1507.04314 (2015)
[i11]
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Md. Imrul Kayes, Nicolas Kourtellis, Daniele Quercia, Adriana Iamnitchi, Francesco Bonchi:
Cultures in Community Question Answering. CoRR abs/1508.05044 (2015)
[i10]
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Md. Imrul Kayes, Nicolas Kourtellis, Francesco Bonchi, Adriana Iamnitchi:
Privacy Concerns vs. User Behavior in Community Question Answering. CoRR abs/1508.06184 (2015)
[i9]
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Francesco Bonchi, Sara Hajian, Bud Mishra, Daniele Ramazzotti:
Exposing the Probabilistic Causal Structure of Discrimination. CoRR abs/1510.00552 (2015)
2014
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Francesco Bonchi, Aristides Gionis, Tamir Tassa:
Identity obfuscation in graphs through the information theoretic lens. Inf. Sci. 275: 232-256 (2014)
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Simon Pool, Francesco Bonchi, Matthijs van Leeuwen:
Description-Driven Community Detection. ACM Trans. Intell. Syst. Technol. 5(2): 28:1-28:28 (2014)
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Sihem Amer-Yahia, Francesco Bonchi, Carlos Castillo, Esteban Feuerstein, Isabel Méndez-Díaz, Paula Zabala:
Composite Retrieval of Diverse and Complementary Bundles. IEEE Trans. Knowl. Data Eng. 26(11): 2662-2675 (2014)
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Çigdem Aslay, Nicola Barbieri, Francesco Bonchi, Ricardo Baeza-Yates:
Online Topic-aware Influence Maximization Queries. EDBT 2014: 295-306
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Arijit Khan, Francesco Bonchi, Aristides Gionis, Francesco Gullo:
Fast Reliability Search in Uncertain Graphs. EDBT 2014: 535-546
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Francesco Bonchi, Aristides Gionis, Francesco Gullo, Antti Ukkonen:
Distance oracles in edge-labeled graphs. EDBT 2014: 547-558
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Tamir Tassa, Francesco Bonchi:
Privacy Preserving Estimation of Social Influence. EDBT 2014: 559-570
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Yasir Mehmood, Nicola Barbieri, Francesco Bonchi:
Modeling Adoptions and the Stages of the Diffusion of Innovations. ICDM 2014: 420-429
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Matteo Riondato, David García-Soriano, Francesco Bonchi:
Graph Summarization with Quality Guarantees. ICDM 2014: 947-952
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Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Who to follow and why: link prediction with explanations. KDD 2014: 1266-1275
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Francesco Bonchi, Francesco Gullo, Andreas Kaltenbrunner, Yana Volkovich:
Core decomposition of uncertain graphs. KDD 2014: 1316-1325
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Francesco Bonchi, David García-Soriano, Edo Liberty:
Correlation clustering: from theory to practice. KDD 2014: 1972
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Nicola Barbieri, Francesco Bonchi:
Influence Maximization with Viral Product Design. SDM 2014: 55-63
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Panos Parchas, Francesco Gullo, Dimitris Papadias, Francesco Bonchi:
The pursuit of a good possible world: extracting representative instances of uncertain graphs. SIGMOD Conference 2014: 967-978
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Nicolas Kourtellis, Gianmarco De Francisci Morales, Francesco Bonchi:
Scalable Online Betweenness Centrality in Evolving Graphs. CoRR abs/1401.6981 (2014)
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Çigdem Aslay, Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan:
Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret. CoRR abs/1412.1462 (2014)
2013
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Francesco Bonchi, Gianmarco De Francisci Morales, Aristides Gionis, Antti Ukkonen:
Activity preserving graph simplification. Data Min. Knowl. Discov. 27(3): 321-343 (2013)
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Francesco Bonchi, Carlos Castillo, Dino Ienco:
Meme ranking to maximize posts virality in microblogging platforms. J. Intell. Inf. Syst. 40(2): 211-239 (2013)
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Francesco Bonchi, Aristides Gionis, Antti Ukkonen:
Overlapping correlation clustering. Knowl. Inf. Syst. 35(1): 1-32 (2013)
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Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Topic-aware social influence propagation models. Knowl. Inf. Syst. 37(3): 555-584 (2013)
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Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan, Suresh Venkatasubramanian:
On minimizing budget and time in influence propagation over social networks. Soc. Netw. Anal. Min. 3(2): 179-192 (2013)
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Francesco Bonchi, Wray L. Buntine, Ricard Gavaldà, Shengbo Guo:
Introduction to the special issue on social web mining. ACM Trans. Intell. Syst. Technol. 5(1): 5:1-5:2 (2013)
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Lucrezia Macchia, Francesco Bonchi, Francesco Gullo, Luca Chiarandini:
Mining Summaries of Propagations. ICDM 2013: 498-507
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Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Influence-Based Network-Oblivious Community Detection. ICDM 2013: 955-960
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Charalampos E. Tsourakakis, Francesco Bonchi, Aristides Gionis, Francesco Gullo, Maria A. Tsiarli:
Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees. KDD 2013: 104-112
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Konstantin Kutzkov, Albert Bifet, Francesco Bonchi, Aristides Gionis:
STRIP: stream learning of influence probabilities. KDD 2013: 275-283
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Lilian Weng, Jacob Ratkiewicz, Nicola Perra, Bruno Gonçalves, Carlos Castillo, Francesco Bonchi, Rossano Schifanella, Filippo Menczer, Alessandro Flammini:
The role of information diffusion in the evolution of social networks. KDD 2013: 356-364
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Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan:
The bang for the buck: fair competitive viral marketing from the host perspective. KDD 2013: 928-936
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Yasir Mehmood, Nicola Barbieri, Francesco Bonchi, Antti Ukkonen:
CSI: Community-Level Social Influence Analysis. ECML/PKDD (2) 2013: 48-63
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Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Towards Topic-aware Social Influence Propagation Models. SEBD 2013: 199-206
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Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Cascade-based community detection. WSDM 2013: 33-42
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Ilaria Bordino, Gianmarco De Francisci Morales, Ingmar Weber, Francesco Bonchi:
From machu_picchu to "rafting the urubamba river": anticipating information needs via the entity-query graph. WSDM 2013: 275-284
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Sihem Amer-Yahia, Francesco Bonchi, Carlos Castillo, Esteban Feuerstein, Isabel Méndez-Díaz, Paula Zabala:
Complexity and algorithms for composite retrieval. WWW (Companion Volume) 2013: 79-80
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Lilian Weng, Jacob Ratkiewicz, Nicola Perra, Bruno Gonçalves, Carlos Castillo, Francesco Bonchi, Rossano Schifanella, Filippo Menczer, Alessandro Flammini:
The Role of Information Diffusion in the Evolution of Social Networks. CoRR abs/1302.6276 (2013)
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Francesco Bonchi, David García-Soriano, Konstantin Kutzkov:
Local correlation clustering. CoRR abs/1312.5105 (2013)
2012
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Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane:
Top-10 Data Mining Case Studies. Int. J. Inf. Technol. Decis. Mak. 11(2): 389-400 (2012)
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Francesco Bonchi, Pooya Esfandiar, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan:
Fast Matrix Computations for Pairwise and Columnwise Commute Times and Katz Scores. Internet Math. 8(1-2): 73-112 (2012)
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Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas:
Diverse dimension decomposition for itemset spaces. Knowl. Inf. Syst. 33(2): 447-473 (2012)
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Paolo Boldi, Francesco Bonchi, Aristides Gionis, Tamir Tassa:
Injecting Uncertainty in Graphs for Identity Obfuscation. Proc. VLDB Endow. 5(11): 1376-1387 (2012)
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Ida Mele, Francesco Bonchi, Aristides Gionis:
The early-adopter graph and its application to web-page recommendation. CIKM 2012: 1682-1686
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Francesco Bonchi, Ophir Frieder, Franco Maria Nardini, Fabrizio Silvestri, Hossein Vahabi:
Interactive and context-aware tag spell check and correction. CIKM 2012: 1869-1873
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Nicola Barbieri, Francesco Bonchi, Giuseppe Manco:
Topic-Aware Social Influence Propagation Models. ICDM 2012: 81-90
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Francesco Bonchi, Aristides Gionis, Francesco Gullo, Antti Ukkonen:
Chromatic correlation clustering. KDD 2012: 1321-1329
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Francesco Bonchi, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini:
Efficient query recommendations in the long tail via center-piece subgraphs. SIGIR 2012: 345-354
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Paolo Boldi, Francesco Bonchi, Aristides Gionis, Tamir Tassa:
Injecting Uncertainty in Graphs for Identity Obfuscation. CoRR abs/1208.4145 (2012)
2011
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Paolo Boldi, Francesco Bonchi, Carlos Castillo, Sebastiano Vigna:
Viscous democracy for social networks. Commun. ACM 54(6): 129-137 (2011)
[j24]
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Francesco Bonchi:
Influence Propagation in Social Networks: A Data Mining Perspective. IEEE Intell. Informatics Bull. 12(1): 8-16 (2011)
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Paolo Boldi, Francesco Bonchi, Carlos Castillo, Sebastiano Vigna:
Query reformulation mining: models, patterns, and applications. Inf. Retr. 14(3): 257-289 (2011)
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Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
A Data-Based Approach to Social Influence Maximization. Proc. VLDB Endow. 5(1): 73-84 (2011)
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Francesco Bonchi, Laks V. S. Lakshmanan, Wendy Hui Wang:
Trajectory anonymity in publishing personal mobility data. SIGKDD Explor. 13(1): 30-42 (2011)
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Francesco Bonchi, Carlos Castillo, Aristides Gionis, Alejandro Jaimes:
Social Network Analysis and Mining for Business Applications. ACM Trans. Intell. Syst. Technol. 2(3): 22:1-22:37 (2011)
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Manos Papagelis, Francesco Bonchi, Aristides Gionis:
Suggesting ghost edges for a smaller world. CIKM 2011: 2305-2308
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Francesco Bonchi, Aristides Gionis, Tamir Tassa:
Identity obfuscation in graphs through the information theoretic lens. ICDE 2011: 924-935
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Francesco Bonchi, Aristides Gionis, Antti Ukkonen:
Overlapping Correlation Clustering. ICDM 2011: 51-60
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Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas:
Diverse Dimension Decomposition of an Itemset Space. ICDM 2011: 725-734
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Michael Mathioudakis, Francesco Bonchi, Carlos Castillo, Aristides Gionis, Antti Ukkonen:
Sparsification of influence networks. KDD 2011: 529-537
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Francesco Bonchi, Matthijs van Leeuwen, Antti Ukkonen:
Characterizing Uncertain Data using Compression. SDM 2011: 534-545
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Francesco Bonchi:
Influence Propagation in Social Networks: A Data Mining Perspective. Web Intelligence 2011: 2
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Francesco Bonchi, Raffaele Perego, Fabrizio Silvestri, Hossein Vahabi, Rossano Venturini:
Recommendations for the long tail by term-query graph. WWW (Companion Volume) 2011: 15-16
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Francesco Bonchi, Pooya Esfandiar, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan:
Fast matrix computations for pair-wise and column-wise commute times and Katz scores. CoRR abs/1104.3791 (2011)
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Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
A Data-Based Approach to Social Influence Maximization. CoRR abs/1109.6886 (2011)
2010
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José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Guest editors' introduction: special issue of selected papers from ECML PKDD 2010. Data Min. Knowl. Discov. 21(2): 221-223 (2010)
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Björn Bringmann, Michele Berlingerio, Francesco Bonchi, Aristides Gionis:
Learning and Predicting the Evolution of Social Networks. IEEE Intell. Syst. 25(4): 26-35 (2010)
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Osman Abul, Francesco Bonchi, Mirco Nanni:
Anonymization of moving objects databases by clustering and perturbation. Inf. Syst. 35(8): 884-910 (2010)
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José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Special issue for ECML PKDD 2010: Guest editors' introduction. Mach. Learn. 81(1): 1-4 (2010)
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Michalis Potamias, Francesco Bonchi, Aristides Gionis, George Kollios:
k-Nearest Neighbors in Uncertain Graphs. Proc. VLDB Endow. 3(1): 997-1008 (2010)
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Osman Abul, Francesco Bonchi, Fosca Giannotti:
Hiding Sequential and Spatiotemporal Patterns. IEEE Trans. Knowl. Data Eng. 22(12): 1709-1723 (2010)
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Dino Ienco, Francesco Bonchi, Carlos Castillo:
The Meme Ranking Problem: Maximizing Microblogging Virality. ICDM Workshops 2010: 328-335
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Vincent Leroy, Berkant Barla Cambazoglu, Francesco Bonchi:
Cold start link prediction. KDD 2010: 393-402
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Pooya Esfandiar, Francesco Bonchi, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan, Byung-Won On:
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks. WAW 2010: 132-145
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Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
Learning influence probabilities in social networks. WSDM 2010: 241-250
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Debora Donato, Francesco Bonchi, Tom Chi, Yoëlle S. Maarek:
Do you want to take notes?: identifying research missions in Yahoo! search pad. WWW 2010: 321-330
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Guillermo Garrido, Francesco Bonchi, Aristides Gionis:
On the high density of leadership nuclei in endorsement social networks. WWW 2010: 1099-1100
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José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6321, Springer 2010, ISBN 978-3-642-15879-7 [contents]
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José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6322, Springer 2010, ISBN 978-3-642-15882-7 [contents]
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José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III. Lecture Notes in Computer Science 6323, Springer 2010, ISBN 978-3-642-15938-1 [contents]
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Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
Approximation Analysis of Influence Spread in Social Networks. CoRR abs/1008.2005 (2010)

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis:
Taxonomy-driven lumping for sequence mining. Data Min. Knowl. Discov. 19(2): 227-244 (2009)
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Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti:
A constraint-based querying system for exploratory pattern discovery. Inf. Syst. 34(1): 3-27 (2009)
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Paolo Boldi, Francesco Bonchi, Carlos Castillo, Sebastiano Vigna:
Voting in social networks. CIKM 2009: 777-786
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Michalis Potamias, Francesco Bonchi, Carlos Castillo, Aristides Gionis:
Fast shortest path distance estimation in large networks. CIKM 2009: 867-876
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Matthijs van Leeuwen, Francesco Bonchi, Börkur Sigurbjörnsson, Arno Siebes:
Compressing tags to find interesting media groups. CIKM 2009: 1147-1156
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Roman Yarovoy, Francesco Bonchi, Laks V. S. Lakshmanan, Wendy Hui Wang:
Anonymizing moving objects: how to hide a MOB in a crowd? EDBT 2009: 72-83
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Francesco Bonchi:
Privacy Preserving Publication of Moving Object Data. Privacy in Location-Based Applications 2009: 190-215
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Amit Goyal, Byung-Won On, Francesco Bonchi, Laks V. S. Lakshmanan:
GuruMine: A Pattern Mining System for Discovering Leaders and Tribes. ICDE 2009: 1471-1474
[c42]
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Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis:
Taxonomy-Driven Lumping for Sequence Mining. ECML/PKDD (1) 2009: 29
[c41]
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Michele Berlingerio, Francesco Bonchi, Björn Bringmann, Aristides Gionis:
Mining Graph Evolution Rules. ECML/PKDD (1) 2009: 115-130
[c40]
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Roberto Trasarti, Francesco Bonchi, Bart Goethals:
A new technique for sequential pattern mining under regular expressions. SEBD 2009: 325-332
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Paolo Boldi, Francesco Bonchi, Carlos Castillo, Sebastiano Vigna:
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns. Web Intelligence 2009: 183-190
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Marcin Sydow, Francesco Bonchi, Carlos Castillo, Debora Donato:
Optimising topical query decomposition. WSCD@WSDM 2009: 43-47
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Paolo Boldi, Francesco Bonchi, Carlos Castillo, Debora Donato, Sebastiano Vigna:
Query suggestions using query-flow graphs. WSCD@WSDM 2009: 56-63
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Michele Berlingerio, Francesco Bonchi, Michele Curcio, Fosca Giannotti, Franco Turini:
Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation. Biomedical Data and Applications 2009: 211-236
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Francesco Bonchi, Elena Ferrari, Wei Jiang, Bradley A. Malin:
Privacy, Security, and Trust in KDD, Second ACM SIGKDD International Workshop, PinKDD 2008, Las Vegas, NV, USA, August 24, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5456, Springer 2009, ISBN 978-3-642-01717-9 [contents]
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Francesco Bonchi:
Constraint-Based Pattern Discovery. Encyclopedia of Data Warehousing and Mining 2009: 313-319
2008
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Francesco Bonchi, Bradley A. Malin, Yücel Saygin:
Recent advances in preserving privacy when mining data. Data Knowl. Eng. 65(1): 1-4 (2008)
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Francesco Bonchi, Elena Ferrari, Wei Jiang, Bradley A. Malin:
PinKDD'08: privacy, security, and trust in KDD post workshop report. SIGKDD Explor. 10(2): 66-67 (2008)
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Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
Anonymity preserving pattern discovery. VLDB J. 17(4): 703-727 (2008)
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Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan:
Discovering leaders from community actions. CIKM 2008: 499-508
[c35]
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Paolo Boldi, Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis, Sebastiano Vigna:
The query-flow graph: model and applications. CIKM 2008: 609-618
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Osman Abul, Francesco Bonchi, Mirco Nanni:
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases. ICDE 2008: 376-385
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Roberto Trasarti, Francesco Bonchi, Bart Goethals:
Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions. ICDM 2008: 1061-1066
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Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis:
Topical query decomposition. KDD 2008: 52-60
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Dino Pedreschi, Francesco Bonchi, Franco Turini, Vassilios S. Verykios, Maurizio Atzori, Bradley A. Malin, Bart Moelans, Yücel Saygin:
Privacy Protection: Regulations and Technologies, Opportunities and Threats. Mobility, Data Mining and Privacy 2008: 101-119
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Francesco Bonchi, Yücel Saygin, Vassilios S. Verykios, Maurizio Atzori, Aris Gkoulalas-Divanis, Selim Volkan Kaya, Erkay Savas:
Privacy in Spatiotemporal Data Mining. Mobility, Data Mining and Privacy 2008: 297-333
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Francesco Bonchi, Elena Ferrari, Bradley A. Malin, Yücel Saygin:
Privacy, Security, and Trust in KDD, First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised Selected Papers. Lecture Notes in Computer Science 4890, Springer 2008, ISBN 978-3-540-78477-7 [contents]
2007
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Francesco Bonchi, Claudio Lucchese:
Extending the state-of-the-art of constraint-based pattern discovery. Data Knowl. Eng. 60(2): 377-399 (2007)
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Stefano Bistarelli, Francesco Bonchi:
Soft constraint based pattern mining. Data Knowl. Eng. 62(1): 118-137 (2007)
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Francesco Bonchi, Elena Ferrari, Bradley A. Malin, Yücel Saygin:
PinKDD'07: privacy, security, and trust in KDD post-workshop report. SIGKDD Explor. 9(2): 93-95 (2007)
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Michele Berlingerio, Francesco Bonchi, Fosca Giannotti, Franco Turini:
Mining Clinical Data with a Temporal Dimension: A Case Study. BIBM 2007: 429-436
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Osman Abul, Maurizio Atzori, Francesco Bonchi, Fosca Giannotti:
Hiding Sequences. ICDE Workshops 2007: 147-156
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Michele Berlingerio, Francesco Bonchi, Fosca Giannotti, Franco Turini:
Time-Annotated Sequences for Medical Data Mining. ICDM Workshops 2007: 133-138
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Osman Abul, Maurizio Atzori, Francesco Bonchi, Fosca Giannotti:
Hiding Sensitive Trajectory Patterns. ICDM Workshops 2007: 693-698
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Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi, Osman Abul:
Privacy-Aware Knowledge Discovery from Location Data. MDM 2007: 283-287
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Osman Abul, Maurizio Atzori, Francesco Bonchi, Fosca Giannotti:
Hiding Sequences. SEBD 2007: 233-241
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Michele Berlingerio, Francesco Bonchi, Fosca Giannotti:
Towards Constraint-Based Subgraph Mining. SEBD 2007: 274-281
2006
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Francesco Bonchi, Claudio Lucchese:
On condensed representations of constrained frequent patterns. Knowl. Inf. Syst. 9(2): 180-201 (2006)
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Michele Berlingerio, Francesco Bonchi, Silvia Chelazzi, Michele Curcio, Fosca Giannotti, Fabrizio Scatena:
Mining HLA Patterns Explaining Liver Diseases. CBMS 2006: 702-707
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Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti:
ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery. ICDE 2006: 159
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Stefano Bistarelli, Francesco Bonchi:
Extending the Soft Constraint Based Mining Paradigm. KDID 2006: 24-41
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Francesco Bonchi, Fosca Giannotti, Claudio Lucchese, Salvatore Orlando, Raffaele Perego, Roberto Trasarti:
On Interactive Pattern Mining from Relational Databases. KDID 2006: 42-62
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Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
Towards low-perturbation anonymity preserving pattern discovery. SAC 2006: 588-592
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Claudio Lucchese, Francesco Bonchi, Fosca Giannotti, Salvatore Orlando, Raffaele Perego, Roberto Trasarti:
On Interactive Pattern Mining from Relational Databases. SEBD 2006: 329-338
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Francesco Bonchi, Jean-François Boulicaut:
Knowledge Discovery in Inductive Databases, 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers. Lecture Notes in Computer Science 3933, Springer 2006, ISBN 3-540-33292-8 [contents]
2005
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Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
Anonymity and data mining. Comput. Syst. Sci. Eng. 20(5) (2005)
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Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
Exante: A Preprocessing Method for Frequent-Pattern Mining. IEEE Intell. Syst. 20(3): 25-31 (2005)
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Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
Efficient breadth-first mining of frequent pattern with monotone constraints. Knowl. Inf. Syst. 8(2): 131-153 (2005)
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Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
Blocking Anonymity Threats Raised by Frequent Itemset Mining. ICDM 2005: 561-564
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Francesco Bonchi, Claudio Lucchese:
Pushing Tougher Constraints in Frequent Pattern Mining. PAKDD 2005: 114-124
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Maurizio Atzori, Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
k-Anonymous Patterns. PKDD 2005: 10-21
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Stefano Bistarelli, Francesco Bonchi:
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining. PKDD 2005: 22-33
2004
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Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
A Relational Query Primitive for Constraint-Based Pattern Mining. Constraint-Based Mining and Inductive Databases 2004: 14-37
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Francesco Bonchi, Fosca Giannotti:
Pushing Constraints to Detect Local Patterns. Local Pattern Detection 2004: 1-19
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Francesco Bonchi, Claudio Lucchese:
On Closed Constrained Frequent Pattern Mining. ICDM 2004: 35-42
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Francesco Bonchi, Bart Goethals:
FP-Bonsai: The Art of Growing and Pruning Small FP-Trees. PAKDD 2004: 155-160
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Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
Frequent Pattern Queries for Flexible Knowledge Discovery. SEBD 2004: 250-261
2003
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Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint. ICDM 2003: 11-18
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Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
Adaptive Constraint Pushing in Frequent Pattern Mining. PKDD 2003: 47-58
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Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
ExAnte: Anticipated Data Reduction in Constrained Pattern Mining. PKDD 2003: 59-70
[c6]
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Francesco Bonchi, Fosca Giannotti, Alessio Mazzanti, Dino Pedreschi:
Pre-processing for Constrained Pattern Mining. SEBD 2003: 519-530
2001
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Francesco Bonchi, Fosca Giannotti, Cristian Gozzi, Giuseppe Manco, Mirco Nanni, Dino Pedreschi, Chiara Renso, Salvatore Ruggieri:
Web log data warehousing and mining for intelligent web caching. Data Knowl. Eng. 39(2): 165-189 (2001)
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Francesco Bonchi, Fosca Giannotti, Giuseppe Manco, Chiara Renso, Mirco Nanni, Dino Pedreschi, Salvatore Ruggieri:
Data Mining for Intelligent Web Caching. ITCC 2001: 599-603
2000
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Francesco Bonchi, Fosca Giannotti, Dino Pedreschi:
On Verification in Logic Database Languages. Computational Logic 2000: 957-971

1990 – 1999

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1999
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Francesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi:
Using Data Mining Techniques in Fiscal Fraud Detection. DaWaK 1999: 369-376
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Francesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi:
A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection. KDD 1999: 175-184
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Francesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi:
Una Metodologia Basata sulla Classificazione per la Pianificazione degli Accertamenti nel Rilevamento di Frodi. SEBD 1999: 69-84

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