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Relational Data Mining in the Era of Big Data

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Book cover 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

The aim of this article is to synthetically describe a sample of distinct approaches and applications of Relational Data Mining, which address the issue of managing complex, and possibly big, amounts of data. Specifically, we report a brief review of the literature on Relational Data Mining in the fields of Spatial Data Mining, Process Mining, Network Data Analysis and Stream Data Mining, with an emphasis on the Italian research. For each field, we describe the milestones that have been reached, as well as the future research trends that are fuelled by the emergent ubiquity of Big Data.

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Notes

  1. 1.

    Funded by the Ministry of Land, Infrastructure and Transport, South Korea.

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Acknowledgements

The research described in this paper has been funded by the European project MAESTRA - Learning from Massive, Incompletely annotated, and Structured Data (Grant number ICT-2013-612944), the European project H2020 “TOREADOR - TrustwOrthy model-awaRE Analytics Data platform” (Grant number 988797).

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Authors and Affiliations

  1. Dipartimento di Informatica, Universita degli Studi di Bari Aldo Moro, via Orabona 4, 70125, Bari, Italy

    Annalisa Appice, Michelangelo Ceci & Donato Malerba

  2. CINI, Consorzio Interuniversitario Nazionale per l’Informatica, Bari, Italy

    Annalisa Appice, Michelangelo Ceci & Donato Malerba

  3. CILA Centro Interdipartimentale di Logica e Applicazioni, Bari, Italy

    Annalisa Appice, Michelangelo Ceci & Donato Malerba

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  1. Annalisa Appice
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  2. Michelangelo Ceci
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Correspondence to Annalisa Appice .

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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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Appice, A., Ceci, M., Malerba, D. (2018). Relational Data Mining in the Era of Big Data. 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_19

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  • DOI: https://doi.org/10.1007/978-3-319-61893-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61892-0

  • Online ISBN: 978-3-319-61893-7

  • eBook Packages: EngineeringEngineering (R0)

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