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Data Mining for Information System Data

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 207))

Abstract

Typically, the term “data mining” refers to the exploration and the analysis of large quantities of data, in order to discover meaningful patterns and rules.

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Notes

  1. 1.

    In literature, sometimes, techniques generating a hierarchy of clusters and techniques generating unrelated sets of clusters are identified, respectively, as hierarchical clustering and flat clustering.

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Correspondence to Andrea Burattin .

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© 2015 Springer International Publishing Switzerland

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Burattin, A. (2015). Data Mining for Information System Data. In: Process Mining Techniques in Business Environments. Lecture Notes in Business Information Processing, vol 207. Springer, Cham. https://doi.org/10.1007/978-3-319-17482-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-17482-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17481-5

  • Online ISBN: 978-3-319-17482-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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