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Ila-2: an inductive learning algorithm for knowledge discovery.
| Content Provider | CiteSeerX |
|---|---|
| Author | Tolun, Mehmet R. Sever, Hayri Vyqh, Mahmut Abu-Soud, Saleh M. |
| 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. ILA 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. Keywords: Data Mining, Knowledge Discovery, Machine Learning, Inductive Learning, Rule Induction. 1. Introduction A knowledge discovery process involves extracting valid, previously unknown, potentially useful, and comprehensible patterns from large ... |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Knowledge Discovery Inductive Learning Algorithm Improved Version Rule Induction Inductive Learning New Evaluation Novel Inductive Learning Algorithm Ila-2 Rule Induction Algorithm Pas Criterion Feature Well-known Inductive Learning Algorithm Basic Ila Basic Algorithm Ila Knowledge Discovery Process Data Mining Processing Time Comprehensible Pattern Machine Learning Penalty Factor |
| Content Type | Text |
| Resource Type | Article |
