RULES-6: A simple rule induction algorithm for handling large data sets

Pham, Duc Truong and Afify, A A 2005. RULES-6: A simple rule induction algorithm for handling large data sets. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 219 (10) , 1119 -1137. 10.1243/095440605X31931

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Abstract

RULES-3 Plus is a member of the RULES family of simple inductive learning algorithms with successful engineering applications. However, it requires modification in order to be a practical tool for problems involving large data sets. In particular, efficient mechanisms are needed for handling continuous attributes and noisy data. This article presents a new rule induction algorithm called RULES-6, which is derived from the RULES-3 Plus algorithm. The algorithm employs a fast and noise-tolerant search method for extracting IF-THEN rules from examples. It also uses simple and effective methods for rule evaluation and handling of continuous attributes. A detailed empirical evaluation of the algorithm is reported in this paper. The results presented demonstrate the strong performance of the algorithm.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	Q Science > QA Mathematics T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Classification; inductive learning; rule induction; discretization; noise handling
Publisher:	Sage
ISSN:	0954-4062
Last Modified:	15 May 2023 01:57
URI:	https://orca.cardiff.ac.uk/id/eprint/2051

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