ILA-2: AN INDUCTIVE LEARNING ALGORITHM FOR KNOWLEDGE DISCOVERY

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 us...

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Bibliographic Details
Published in:Cybernetics and systems 1999-10, Vol.30 (7), p.609-628
Main Authors: Tolun, Mehmet R, Sever, Hayri, Uludag, Mahmut, Abu-Soud, Saleh M
Format: Article
Language:English
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Summary: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. We experimentally show that the performance of ILA-2 is comparable to that of well-known inductive learning algorithms, namely, CN2, OC1, ID3, and C4.5.
ISSN:0196-9722
1087-6553
DOI:10.1080/019697299125037