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An improved inductive learning algorithm with a preanalysis of data

  • Janusz Kacprzyk
  • Grażyna Szkatula
Communications Session 2A Learning and Discovery Systems
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1325)

Abstract

We propose an improved inductive learning procedure, IPI, to derive classification rules from examples. A preanalysis of data is included which assigns higher weights to those values of the attributes which occur more often in the positive than in the negative examples. The inductive learning problem is represented as a covering problem in integer programming which is solved by a modified greedy algorithm. The results are very encouraging, and are shown for a well-known M3 (Monk's) problem.

Keywords

inductive learning learning from examples covering problem 0–1 programming greedy algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Janusz Kacprzyk
    • 1
  • Grażyna Szkatula
    • 1
  1. 1.Systems Research InstitutePolish Academy of SciencesWarsawPoland

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