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Article: Efficient rule-based attribute-oriented induction for data mining
Title | Efficient rule-based attribute-oriented induction for data mining |
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Authors | |
Issue Date | 2000 |
Publisher | Springer 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? |
Abstract | Data 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 Identifier | http://hdl.handle.net/10722/89110 |
ISSN | 2023 Impact Factor: 2.3 2023 SCImago Journal Rankings: 0.835 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Cheung, DW | en_HK |
dc.contributor.author | Hwang, HY | en_HK |
dc.contributor.author | Fu, AW | en_HK |
dc.contributor.author | Han, J | en_HK |
dc.date.accessioned | 2010-09-06T09:52:31Z | - |
dc.date.available | 2010-09-06T09:52:31Z | - |
dc.date.issued | 2000 | en_HK |
dc.identifier.citation | Journal Of Intelligent Information Systems, 2000, v. 15 n. 2, p. 175-200 | en_HK |
dc.identifier.issn | 0925-9902 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/89110 | - |
dc.description.abstract | Data 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.language | eng | en_HK |
dc.publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0925-9902 | en_HK |
dc.relation.ispartof | Journal of Intelligent Information Systems | en_HK |
dc.title | Efficient rule-based attribute-oriented induction for data mining | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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+Mining | en_HK |
dc.identifier.email | Cheung, DW:dcheung@cs.hku.hk | en_HK |
dc.identifier.authority | Cheung, DW=rp00101 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1023/A:1008778107391 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0034275407 | en_HK |
dc.identifier.hkuros | 58051 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0034275407&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 15 | en_HK |
dc.identifier.issue | 2 | en_HK |
dc.identifier.spage | 175 | en_HK |
dc.identifier.epage | 200 | en_HK |
dc.identifier.isi | WOS:000088122500004 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Cheung, DW=34567902600 | en_HK |
dc.identifier.scopusauthorid | Hwang, HY=36487892900 | en_HK |
dc.identifier.scopusauthorid | Fu, AW=25957576800 | en_HK |
dc.identifier.scopusauthorid | Han, J=24325399900 | en_HK |
dc.identifier.issnl | 0925-9902 | - |