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Volumn , Issue , 2004, Pages 689-694

Generalizing the notion of support

Author keywords

Association analysis; Hyperclique; Support

Indexed keywords

BOOLEAN FUNCTIONS; DATA REDUCTION; ERROR ANALYSIS; MATRIX ALGEBRA; SET THEORY; THEOREM PROVING; VECTORS;

EID: 12244305832     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1014052.1014141     Document Type: Conference Paper
Times cited : (31)

References (14)
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    • E.-H. Han, G. Karypis, and V. Kumar. Tr# 97-068: Min-apriori: An algorithm for finding association rules in data with continuous attributes. Technical report, Department of Computer Science, University of Minnesota, Minneapolis, MN, 1997.
    • (1997) Technical Report
    • Han, E.-H.1    Karypis, G.2    Kumar, V.3
  • 7
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    • July
    • J. Hipp, U. Güntzer, and G. Nakhaeizadeh. Algorithms for association rule mining - a general survey and comparison. SIGKDD Explorations, 2(1):58-64, July 2000.
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    • January/February
    • E. R. Omiecinski. Alternative interest measures for mining associations in databases. IEEE TKDE, 15(1):57-69, January/February 2003.
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  • 9
    • 0034592924 scopus 로고    scopus 로고
    • Can we push more constraints into frequent pattern mining?
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  • 10
    • 85162588849 scopus 로고    scopus 로고
    • Mining association rules with item constraints
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  • 11
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    • Extending the notion of support
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.