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How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science

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A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years

Part of the book series: Studies in Big Data ((SBD,volume 31))

Abstract

During the last 35 years, data management principles such as physical and logical independence, declarative querying and cost-based optimization have led to profound pervasiveness of relational databases in any kind of organization. More importantly, these technical advances have enabled the first round of business intelligence applications and laid the foundation for managing and analyzing Big Data today.

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Notes

  1. 1.

    http://www.deepfeatures.org.

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Authors and Affiliations

  1. ISTI - CNR, Pisa, Italy

    G. Amato, L. Candela, D. Castelli, A. Esuli, F. Falchi, C. Gennaro, F. Giannotti, M. Nanni, P. Pagano, F. Pratesi, F. Rabitti, S. Rinzivillo & F. Sebastiani

  2. University of Pisa, Pisa, Italy

    A. Monreale, L. Pappalardo, D. Pedreschi, G. Rossetti & S. Ruggieri

  3. IIT-CNR, Pisa, Italy

    M. Tesconi

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  1. G. Amato
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Correspondence to F. Giannotti .

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Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Sergio Flesca

  2. University of Calabria, Rende, Italy

    Sergio Greco

  3. ICAR-CNR, Rende, Italy

    Elio Masciari

  4. University of Calabria, Rende, Italy

    Domenico Saccà

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Amato, G. et al. (2018). How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science. In: Flesca, S., Greco, S., Masciari, E., Saccà, D. (eds) A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years. Studies in Big Data, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-61893-7_17

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