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Volumn 8, Issue 3, 2004, Pages 227-252

Pushing convertible constraints in frequent itemset mining

Author keywords

Algorithm; Constraint; Convertible constraint; Frequent itemset mining; Pruning

Indexed keywords

ALGEBRA; ALGORITHMS; CONSTRAINT THEORY; DATABASE SYSTEMS; OPTIMIZATION; SEMANTICS;

EID: 3543095068     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:DAMI.0000023674.74932.4c     Document Type: Article
Times cited : (76)

References (24)
  • 9
    • 0032627945 scopus 로고    scopus 로고
    • Efficient mining of partial periodic patterns in time series database
    • Sydney, Australia
    • Han, J., Dong, G., and Yin, Y. 1999. Efficient mining of partial periodic patterns in time series database. In Proc. 1999 Int. Conf. Data Engineering (ICDE'99), Sydney, Australia, pp. 106-115.
    • (1999) Proc. 1999 Int. Conf. Data Engineering (ICDE'99) , pp. 106-115
    • Han, J.1    Dong, G.2    Yin, Y.3
  • 24
    • 0000835392 scopus 로고
    • Opus: An efficient admissible algorithm for unordered search
    • Webb, G.I. 1995. Opus: An efficient admissible algorithm for unordered search. Journal of Artificial Intelligence Research, 3:431-465.
    • (1995) Journal of Artificial Intelligence Research , vol.3 , pp. 431-465
    • Webb, G.I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.