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Volumn 3066, Issue , 2004, Pages 610-617

Fuzzy taxonomic, quantitative database and mining generalized association rules

Author keywords

Association rule; Data mining; Fuzzy taxonomic structure

Indexed keywords

ALGORITHMS; BOOLEAN ALGEBRA; DATABASE SYSTEMS; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; ASSOCIATION RULES; ROUGH SET THEORY;

EID: 9444278450     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25929-9_75     Document Type: Conference Paper
Times cited : (3)

References (10)
  • 3
    • 0033311838 scopus 로고    scopus 로고
    • Mining multiple-level association rules in large databases
    • September
    • Jiawei Han and Yongjian Fu. Mining Multiple-Level Association Rules In Large Databases. IEEE Transaction on knowledge and Data Engineering, September, 5(11) (1999) 798-805.
    • (1999) IEEE Transaction on Knowledge and Data Engineering , vol.5 , Issue.11 , pp. 798-805
    • Han, J.1    Fu, Y.2
  • 4
    • 0002082857 scopus 로고
    • An efficient algorithm for mining association rules in large databases
    • Zurich, Switzerland, September
    • Savasere, E.Omiecinski, S.Navathe. An Efficient Algorithm for Mining Association Rules in Large Databases.In Proceedings of the VLDB Conference, Zurich, Switzerland, September (1995).
    • (1995) Proceedings of the VLDB Conference
    • Savasere, E.O.1    Navathe, S.2
  • 10
    • 0002889848 scopus 로고
    • Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases
    • Seattle,WA
    • Han J, Fu Y. Dynamic generation and refinement of concept hierarchies for knowledge discovery in databases. In Proceedings of the KDD'94, Seattle,WA, (1994) 157-168.
    • (1994) Proceedings of the KDD'94 , pp. 157-168
    • Han, J.1    Fu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.