ILA-2: an inductive learning algorithm for knowledge discovery

Mehmet R. Tolun, Hayri Sever, Mahmut Uludag, Saleh M. Abu-Soud

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

In this paper we describe the ILA-2 rule induction algorithm, which is the improved version of a novel inductive learning algorithm (ILA). We first outline the basic algorithm ILA, and then present how the algorithm is improved using a new evaluation metric that handles uncertainty in the data. By using a new soft computing metric, users can reflect their preferences through a penalty factor to control the performance of the algorithm. Inductive learning algorithm has also a faster pass criteria feature which reduces the processing time without sacrificing much from the accuracy that is not available in basic ILA.

Original languageEnglish (US)
Pages (from-to)609-628
Number of pages20
JournalCybernetics and Systems
Volume30
Issue number7
DOIs
StatePublished - Oct 1 1999

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Control and Systems Engineering

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