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Volumn 17, Issue 5, 2005, Pages 652-664

TFP: An efficient algorithm for mining top-k frequent closed itemsets

Author keywords

Association rules; Data mining; Frequent itemset; Mining methods and algorithms

Indexed keywords

ASSOCIATION RULES; FREQUENT ITEMSETS; MINING METHODS AND ALGORITHMS; TFP;

EID: 19944376126     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2005.81     Document Type: Article
Times cited : (193)

References (27)
  • 8
    • 0037243046 scopus 로고    scopus 로고
    • Free-sets: A condensed representation of Boolean data for the approximation of frequency queries
    • J.-F. Boulicaut, A. Bykowski, and C. Rigotti, "Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries," Data Mining and Knowledge Discovery, vol. 7, pp. 5-22, 2003.
    • (2003) Data Mining and Knowledge Discovery , vol.7 , pp. 5-22
    • Boulicaut, J.-F.1    Bykowski, A.2    Rigotti, C.3
  • 13
  • 18
    • 84949511065 scopus 로고    scopus 로고
    • Parallel branch-and-bound graph search for correlated association rules
    • S. Morishita and A. Nakaya, "Parallel Branch-and-Bound Graph Search for Correlated Association Rules," Large-Scale Parallel Data Mining, pp. 127-144, 1999.
    • (1999) Large-scale Parallel Data Mining , pp. 127-144
    • Morishita, S.1    Nakaya, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.