Peer reviewedERIC Number: EJ564266
Record Type: Journal
Publication Date: 1998
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-0002-8231
EISSN: N/A
Available Date: N/A
Data Mining Using Extensions of the Rough Set Model.
Lingras, P. J.; Yao, Y. Y.
Journal of the American Society for Information Science, v49 n5 p415-22 Apr 15 1998
Examines basic issues of data mining using the theory of rough sets, a recent proposal for generalizing classical set theory. Demonstrates that a generalized rough set model can be used for generating rules from incomplete databases. Discusses the importance of rule extraction from incomplete databases in data mining. (AEF)
Descriptors: Classification, Databases, Information Retrieval, Information Seeking, Information Sources, Models, Set Theory
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A
