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Decision Trees in Data Stream Mining

  • Leszek RutkowskiEmail author
  • Maciej Jaworski
  • Piotr Duda
Chapter
Part of the Studies in Big Data book series (SBD, volume 56)

Abstract

A decision tree [1] is a data mining tool commonly used in data classification tasks. Apart from providing satisfactorily high accuracies, the results produced by decision trees are easily interpretable. A decision tree, in fact, divides attribute values space X into disjoint subspaces. The most common decision tree induction algorithms for static data sets are the ID3 algorithm [2], the C4.5 algorithm [3, 4], and the CART algorithm [5].

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Leszek Rutkowski
    • 1
    • 2
    Email author
  • Maciej Jaworski
    • 1
  • Piotr Duda
    • 1
  1. 1.Institute of Computational IntelligenceCzestochowa University of TechnologyCzęstochowaPoland
  2. 2.Information Technology InstituteUniversity of Social SciencesLodzPoland

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