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Classifiers in the Form of Rulesets

  • Miroslav Kubat
Chapter

Abstract

Some classifiers take the form of so-calledif-then rules: if the conditions from theif-part are satisfied, the example is labeled with the class specified in thethen-part. Typically, the classifier is represented not by a single rule, but by a set of rules, aruleset. The paradigm has certain advantages. For one thing, the rules capture the underlying logic, and therefore facilitate explanations of why an example has to be labeled with the given class; for another, induction of rulesets is capable of discovering recursive definitions, something that is difficult to accomplish within other machine-learning paradigms.

References

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    Quinlan, R. (1990). Learning logical definitions from relations.Machine Learning, 5, 239–266Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Miroslav Kubat
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of MiamiCoral GablesUSA

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