Peer reviewed
ERIC Number: EJ564268
Record Type: Journal
Publication Date: 1998
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-0002-8231
EISSN: N/A
Rule Induction with Extension Matrices.
Wu, Xindong
Journal of the American Society for Information Science, v49 n5 p435-54 Apr 15 1998
Presents a heuristic, attribute-based, noise-tolerant data mining program, HCV (Version 2.0) based on the newly-developed extension matrix approach. Outlines some techniques implemented in the HCV program for noise handling and discretization of continuous domains; an empirical comparison shows that rules generated by HCV are more compact than the decision trees or rules produced by ID3-like data mining algorithms. (AEF)
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A