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ORCID8. PAKDD 2004: Sydney, Australia
- Honghua Dai, Ramakrishnan Srikant, Chengqi Zhang:
Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings. Lecture Notes in Computer Science 3056, Springer 2004, ISBN 3-540-22064-X
Invited Speeches
- Philip S. Yu:
Mining of Evolving Data Streams with Privacy Preservation. 1 - Usama M. Fayyad:
Data Mining Grand Challenges. 2
Session 1A: Classification (I)
- Remco R. Bouckaert, Eibe Frank:
Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms. 3-12 - Chun Hung Li, Zhi-Li Wu:
Spectral Energy Minimization for Semi-supervised Learning. 13-21 - Shantanu Godbole, Sunita Sarawagi:
Discriminative Methods for Multi-labeled Classification. 22-30
Session 1B: Clustering (I)
- Chih-Ming Hsu, Ming-Syan Chen:
Subspace Clustering of High Dimensional Spatial Data with Noises. 31-40 - Yu Qian, Kang Zhang, Wei Lai:
Constraint-Based Graph Clustering through Node Sequencing and Partitioning. 41-51 - Gianluigi Greco, Antonella Guzzo, Luigi Pontieri, Domenico Saccà:
Mining Expressive Process Models by Clustering Workflow Traces. 52-62
Session 1C: Association Rules (I)
- Yun Chi, Yirong Yang, Yi Xia, Richard R. Muntz:
CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees. 63-73 - Stanley R. M. Oliveira, Osmar R. Zaïane, Yücel Saygin:
Secure Association Rule Sharing. 74-85 - Daniel Barbará, Ping Chen, Zohreh Nazeri:
Self-Similar Mining of Time Association Rules. 86-95
Session 2A: Novel Algorithms (I)
- Roger Ming Hieng Ting, James Bailey, Kotagiri Ramamohanarao:
ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm. 96-105 - Peng Han, Bo Xie, Fan Yang, Ruimin Shen:
A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network. 106-115 - Andy M. Yip, Edmond HaoCun Wu, Michael K. Ng, Tony F. Chan:
An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams. 116-120 - Tim Churches, Peter Christen:
Blind Data Linkage Using n-gram Similarity Comparisons. 121-126 - Arnaud Soulet, Bruno Crémilleux, François Rioult:
Condensed Representation of Emerging Patterns. 127-132
Session 2B: Association (II)
- Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda:
Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured Documents. 133-144 - Zhenxing Qin, Li Liu, Shichao Zhang:
Mining Term Association Rules for Heuristic Query Construction. 145-154 - Francesco Bonchi, Bart Goethals
:
FP-Bonsai: The Art of Growing and Pruning Small FP-Trees. 155-160 - Dhananjay R. Thiruvady, Geoffrey I. Webb:
Mining Negative Rules Using GRD. 161-165 - Jiye Li, Bin Tang, Nick Cercone:
Applying Association Rules for Interesting Recommendations Using Rule Templates. 166-170
Session 2C: Classification (II)
- Byung-Joo Kim, Il Kon Kim, Kwang-Baek Kim:
Feature Extraction and Classification System for Nonlinear and Online Data. 171-180 - Dan A. Simovici, Szymon Jaroszewicz:
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index. 181-190 - Yang Zhang, Zhanhuai Li, Yan Tang, Kebin Cui:
DRC-BK: Mining Classification Rules with Help of SVM. 191-195 - Jing Liu, Weicai Zhong, Fang Liu, Licheng Jiao:
A New Data Mining Method Using Organizational Coevolutionary Mechanism. 196-200 - Hongjian Fan, Kotagiri Ramamohanarao:
Noise Tolerant Classification by Chi Emerging Patterns. 201-206 - Hamad Alhammady, Kotagiri Ramamohanarao:
The Application of Emerging Patterns for Improving the Quality of Rare-Class Classification. 207-211
Session 3A: Event Mining, Anomaly Detection, and Intrusion Detection
- Xingzhi Sun, Maria E. Orlowska, Xue Li:
Finding Negative Event-Oriented Patterns in Long Temporal Sequences. 212-221 - Cui Zhu, Hiroyuki Kitagawa, Spiros Papadimitriou, Christos Faloutsos:
OBE: Outlier by Example. 222-234 - Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin:
Temporal Sequence Associations for Rare Events. 235-239 - Takehisa Yairi, Shiro Ogasawara, Koichi Hori, Shinichi Nakasuka, Naoki Ishihama:
Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns. 240-244 - Xiaoshu Hang, Honghua Dai:
An Extended Negative Selection Algorithm for Anomaly Detection. 245-254 - Joshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie:
Adaptive Clustering for Network Intrusion Detection. 255-259
Session 3B: Ensemble Learning
- Honghua Dai, Gang Li, Zhi-Hua Zhou:
Ensembling MML Causal Discovery. 260-271 - Xin Xu, Eibe Frank:
Logistic Regression and Boosting for Labeled Bags of Instances. 272-281 - Fang Chu, Carlo Zaniolo:
Fast and Light Boosting for Adaptive Mining of Data Streams. 282-292 - Amit Mandvikar, Huan Liu, Hiroshi Motoda:
Compact Dual Ensembles for Active Learning. 293-297 - Zhi-Hua Zhou, Dan Wei, Gang Li, Honghua Dai:
On the Size of Training Set and the Benefit from Ensemble. 298-307
Session 3C: Bayesian Network and Graph Mining
- Gang Li, Honghua Dai, Yiqing Tu:
Identifying Markov Blankets Using Lasso Estimation. 308-318 - Zhihai Wang, Geoffrey I. Webb, Fei Zheng:
Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. 319-328 - Kwong H. Yung:
Using Self-Consistent Naive-Bayes to Detect Masquerades. 329-340 - Sharma Chakravarthy, Ramji Beera, Ramanathan Balachandran:
DB-Subdue: Database Approach to Graph Mining. 341-350
Session 3D: Text Mining (I)
- Tomoyuki Uchida, Tomonori Mogawa, Yasuaki Nakamura:
Finding Frequent Structural Features among Words in Tree-Structured Documents. 351-360 - Adam Kowalczyk, Bhavani Raskutti, Herman L. Ferrá:
Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining. 361-372 - Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu:
Classifying Text Streams in the Presence of Concept Drifts. 373-383 - Jaeho Kang, Kwang Ryel Ryu, Hyuk-Chul Kwon:
Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text Classification. 384-388 - Wenyuan Li, Wee Keong Ng, Ee-Peng Lim:
Spectral Analysis of Text Collection for Similarity-Based Clustering. 389-393
Session 4A: Clustering (II)
- Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Clustering Multi-represented Objects with Noise. 394-403 - Anoop Jain, Parag Sarda, Jayant R. Haritsa:
Providing Diversity in K-Nearest Neighbor Query Results. 404-413 - Chris H. Q. Ding, Xiaofeng He:
Cluster Structure of K-means Clustering via Principal Component Analysis. 414-418 - Shuai Ma, Shiwei Tang, Dongqing Yang, Tengjiao Wang, Jinqiang Han:
Combining Clustering with Moving Sequential Pattern Mining: A Novel and Efficient Technique. 419-423 - Denny, Vincent C. S. Lee:
An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing Map. 424-430
Session 4B: Association (III)
- Raymond Chi-Wing Wong, Ada Wai-Chee Fu:
ISM: Item Selection for Marketing with Cross-Selling Considerations. 431-440 - Chen Wang, Mingsheng Hong, Jian Pei, Haofeng Zhou, Wei Wang, Baile Shi:
Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining. 441-451 - Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia:
Mining Association Rules from Structural Deltas of Historical XML Documents. 452-457 - Zhiheng Li, Jeffrey Xu Yu, Hongjun Lu, Yabo Xu, Guimei Liu:
Data Mining Proxy: Serving Large Number of Users for Efficient Frequent Itemset Mining. 458-463
Session 4C: Novel Algorithms (II)
- Zhuoming Xu, Xiao Cao, Yisheng Dong, Wenping Su:
Formal Approach and Automated Tool for Translating ER Schemata into OWL Ontologies. 464-475 - Taneli Mielikäinen:
Separating Structure from Interestingness. 476-485 - Benjamin Rutt, Srinivasan Parthasarathy:
Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance. 486-496
Session 4D: Multimedia Mining
- Keechul Jung, Eun Yi Kim:
Automatic Text Extraction for Content-Based Image Indexing. 497-507 - Muneaki Ohshima, Ning Zhong, Yiyu Yao, Shinichi Murata:
Peculiarity Oriented Analysis in Multi-people Tracking Images. 508-518 - Jia-Yu Pan, Hiroyuki Kitagawa, Christos Faloutsos, Masafumi Hamamoto:
AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases. 519-528
Session 5A: Text Mining and Web Mining (II)
- Jun-Peng Bao, Jun-Yi Shen, Xiao-Dong Liu, Haiyan Liu, Xiao-Di Zhang:
Semantic Sequence Kin: A Method of Document Copy Detection. 529-538 - I-Ane Huang, Jan-Ming Ho, Hung-Yu Kao, Shian-Hua Lin:
Extracting Citation Metadata from Online Publication Lists Using BLAST. 539-548 - Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Michael K. Ng:
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models. 549-558 - Yi Chen:
Discovering Ordered Tree Patterns from XML Queries. 559-563 - Shanchan Wu, Wenyuan Wang:
Predicting Web Requests Efficiently Using a Probability Model. 564-568
Session 5B: Statistical Methods, Sequential Data Mining, and Time Series Mining
- Won-Young Kim, Young-Koo Lee, Jiawei Han:
CCMine: Efficient Mining of Confidence-Closed Correlated Patterns. 569-579 - Si Quang Le, Tu Bao Ho:
A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data. 580-589 - Kwok-Chung Au, Kwok-Wai Cheung:
Learning Hidden Markov Model Topology Based on KL Divergence for Information Extraction. 590-594 - Hui Zhang, Tu Bao Ho, Mao Song Lin:
A Non-parametric Wavelet Feature Extractor for Time Series Classification. 595-603 - Kedong Luo, Jianmin Wang, Jia-Guang Sun:
Rules Discovery from Cross-Sectional Short-Length Time Series. 604-614
Session 5C: Novel Algorithms (III)
- Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Constraint-Based Mining of Formal Concepts in Transactional Data. 615-624 - Johannes Fischer, Luc De Raedt:
Towards Optimizing Conjunctive Inductive Queries. 625-637 - Peter Christen, Tim Churches, Markus Hegland:
Febrl - A Parallel Open Source Data Linkage System: http://datamining.anu.edu.au/linkage.html. 638-647 - Yan-Huang Jiang, Qiang-Li Zhao, Xuejun Yang:
A General Coding Method for Error-Correcting Output Codes. 648-652 - Huiping Cao, David W. Cheung, Nikos Mamoulis:
Discovering Partial Periodic Patterns in Discrete Data Sequences. 653-658
Session 5D: Biomedical Mining
- Tatiana Semenova, Markus Hegland, Warwick Graco, Graham J. Williams:
Conceptual Mining of Large Administrative Health Data. 659-669 - Ahmed Amrani, Yves Kodratoff, Oriane Matte-Tailliez:
A Semi-automatic System for Tagging Specialized Corpora. 670-681 - Jinyan Li, Kotagiri Ramamohanarao:
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer. 682-691 - Vincent Shin-Mu Tseng, Ching-Pin Kao:
A Novel Parameter-Less Clustering Method for Mining Gene Expression Data. 692-698 - Paul J. Kennedy, Simeon J. Simoff, David B. Skillicorn, Daniel R. Catchpoole:
Extracting and Explaining Biological Knowledge in Microarray Data. 699-703 - Ke Yin, Ian Davidson:
Further Applications of a Particle Visualization Framework. 704-710
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