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Article: Efficient rule-based attribute-oriented induction for data mining

TitleEfficient rule-based attribute-oriented induction for data mining
Authors
Issue Date2000
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0925-9902
Citation
Journal Of Intelligent Information Systems, 2000, v. 15 n. 2, p. 175-200 How to Cite?
AbstractData mining has become an important technique which has tremendous potential in many commercial and industrial applications. Attribute-oriented induction is a powerful mining technique and has been successfully implemented in the data mining system DBMiner. However, its induction capability is limited by the unconditional concept generalization. In this paper, we extend the concept generalization to rule-based concept hierarchy, which enhances greatly its induction power. When previously proposed induction algorithm is applied to the more general rule-based case, a problem of induction anomaly occurs which impacts its efficiency. We have developed an efficient algorithm to facilitate induction on the rule-based case which can avoid the anomaly. Performance studies have shown that the algorithm is superior than a previously proposed algorithm based on backtracking.
Persistent Identifierhttp://hdl.handle.net/10722/89110
ISSN
2015 Impact Factor: 1.0
2015 SCImago Journal Rankings: 0.691
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCheung, DWen_HK
dc.contributor.authorHwang, HYen_HK
dc.contributor.authorFu, AWen_HK
dc.contributor.authorHan, Jen_HK
dc.date.accessioned2010-09-06T09:52:31Z-
dc.date.available2010-09-06T09:52:31Z-
dc.date.issued2000en_HK
dc.identifier.citationJournal Of Intelligent Information Systems, 2000, v. 15 n. 2, p. 175-200en_HK
dc.identifier.issn0925-9902en_HK
dc.identifier.urihttp://hdl.handle.net/10722/89110-
dc.description.abstractData mining has become an important technique which has tremendous potential in many commercial and industrial applications. Attribute-oriented induction is a powerful mining technique and has been successfully implemented in the data mining system DBMiner. However, its induction capability is limited by the unconditional concept generalization. In this paper, we extend the concept generalization to rule-based concept hierarchy, which enhances greatly its induction power. When previously proposed induction algorithm is applied to the more general rule-based case, a problem of induction anomaly occurs which impacts its efficiency. We have developed an efficient algorithm to facilitate induction on the rule-based case which can avoid the anomaly. Performance studies have shown that the algorithm is superior than a previously proposed algorithm based on backtracking.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0925-9902en_HK
dc.relation.ispartofJournal of Intelligent Information Systemsen_HK
dc.titleEfficient rule-based attribute-oriented induction for data miningen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0925-9902&volume=15&spage=175&epage=200&date=2000&atitle=Efficient+Rule-Based+Attribute-Oriented+Induction+for+Data+Miningen_HK
dc.identifier.emailCheung, DW:dcheung@cs.hku.hken_HK
dc.identifier.authorityCheung, DW=rp00101en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1023/A:1008778107391en_HK
dc.identifier.scopuseid_2-s2.0-0034275407en_HK
dc.identifier.hkuros58051en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034275407&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume15en_HK
dc.identifier.issue2en_HK
dc.identifier.spage175en_HK
dc.identifier.epage200en_HK
dc.identifier.isiWOS:000088122500004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridCheung, DW=34567902600en_HK
dc.identifier.scopusauthoridHwang, HY=36487892900en_HK
dc.identifier.scopusauthoridFu, AW=25957576800en_HK
dc.identifier.scopusauthoridHan, J=24325399900en_HK

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