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Volumn 3587 LNAI, Issue , 2005, Pages 641-650

Semantic analysis of association rules via item response theory

Author keywords

[No Author keywords available]

Indexed keywords

CONSUMER PRODUCTS; DATA MINING; KNOWLEDGE ACQUISITION; MARKETING; MATHEMATICAL MODELS;

EID: 26944443048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11510888_63     Document Type: Conference Paper
Times cited : (1)

References (8)
  • 4
    • 22944465757 scopus 로고    scopus 로고
    • Mining indirect association rules
    • Proceedings of the 4th Industrial Conference on Data Mining, ICDM2004, Leipzig, Germany, July 4-7, 2004
    • Shinichi Hamano and Masako Sato: Mining Indirect Association Rules, in Proceedings of the 4th Industrial Conference on Data Mining, ICDM2004, Leipzig, Germany, July 4-7, 2004, Lecture Notes in Computer Science 3275, pp. 106-116, 2004.
    • (2004) Lecture Notes in Computer Science , vol.3275 , pp. 106-116
    • Hamano, S.1    Sato, M.2
  • 6
    • 0002297105 scopus 로고
    • Conditional logit analysis of qualitative choice behavior
    • D.McFadden: Conditional logit analysis of qualitative choice behavior, Frontiers in Economics, pp. 105-142, 1974.
    • (1974) Frontiers in Economics , pp. 105-142
    • McFadden, D.1
  • 7
    • 0036565048 scopus 로고    scopus 로고
    • Discovering causality in large databases
    • Shichao Zhang and Chengqi Zhang: Discovering Causality in Large Databases, Applied Artificial Intelligence, Vol. 16, 5(2002): 333-358.
    • (2002) Applied Artificial Intelligence , vol.16 , Issue.5 , pp. 333-358
    • Zhang, S.1    Zhang, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.