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Volumn AIDSS, Issue , 2006, Pages 196-201

Discovering the stable clusters between interestingness measures

Author keywords

Association rules; Interestingness measure; Knowledge quality; Post processing; Stable cluster

Indexed keywords

DATA MINERS; DATA SETS; INTERESTINGNESS MEASURES; POST PROCESSING; STABLE CLUSTERS;

EID: 77953908977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (19)
  • 7
    • 25844457478 scopus 로고    scopus 로고
    • Prioritization of association rules in data mining: Multiple criteria decision approach
    • Choi, D. H., Ahn, B. S., and Kim, S. H. (2005). Prioritization of association rules in data mining: Multiple criteria decision approach. In ESA'05, Expert Sytems with Applications.
    • (2005) ESA'05, Expert Sytems with Applications
    • Choi, D.H.1    Ahn, B.S.2    Kim, S.H.3
  • 8
    • 0033207925 scopus 로고    scopus 로고
    • On rule interestingness measures
    • Elsevier
    • Freitas, A. (1999). On rule interestingness measures. In Knowledge-Based Systems, 12(5-6). Elsevier.
    • (1999) Knowledge-Based Systems , vol.12 , Issue.5-6
    • Freitas, A.1
  • 14
    • 0002192370 scopus 로고    scopus 로고
    • Explora: A multipattern and multistrategy discovery assistant
    • AAAI/MIT Press
    • Klösgen,W. (1996). Explora: a multipattern and multistrategy discovery assistant. In Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Klösgen, W.1
  • 19
    • 1242308945 scopus 로고    scopus 로고
    • Selecting the right objective measure for association analysis
    • Elsevier
    • Tan, P.-N., Kumar, V., and Srivastava, J. (2004). Selecting the right objective measure for association analysis. In Information Systems 29(4). Elsevier.
    • (2004) Information Systems , vol.29 , Issue.4
    • Tan, P.-N.1    Kumar, V.2    Srivastava, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.