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RILL: Algorithm for Learning Rules from Streaming Data with Concept Drift

  • Magdalena Deckert
  • Jerzy Stefanowski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)

Abstract

Incremental learning of classification rules from data streams with concept drift is considered. We introduce a new algorithm RILL, which induces rules and single instances, uses bottom-up rule generalization based on nearest rules, and performs intensive pruning of the obtained rule set. Its experimental evaluation shows that it achieves better classification accuracy and memory usage than the related rule algorithm VFDR and it is also competitive to decision trees VFDT-NB.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Magdalena Deckert
    • 1
  • Jerzy Stefanowski
    • 1
  1. 1.Institute of Computing SciencePoznań University of TechnologyPoznańPoland

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