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Volumn , Issue , 2003, Pages 559-564

Playing hide-and-seek with correlations

Author keywords

Association rules; Correlations; Data mining; Minimum cut

Indexed keywords

CORRELATION ANALYSIS; HIGH-DIMENSIONAL; HUMAN INTERACTIONS; MINIMUM CUT; RUNNING TIME; SEARCH STRATEGIES; SHAVE-OFF; TECHNICAL DIFFICULTIES;

EID: 61349173123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/956750.956819     Document Type: Conference Paper
Times cited : (9)

References (9)
  • 1
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    • R. Agrawal, T. Imielinski, A. N. Swami: Mining association rules between sets of items in large databases. SIGMOD 1993:207-216
    • (1993) SIGMOD , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.N.3
  • 2
    • 0032091573 scopus 로고    scopus 로고
    • Efficiently mining long patterns from databases
    • R. J. Bayardo Jr. Efficiently mining long patterns from databases. SIGMOD 1998:85-93
    • (1998) SIGMOD , pp. 85-93
    • Bayardo Jr., R.J.1
  • 3
    • 0002794540 scopus 로고    scopus 로고
    • Mining the most interesting rules
    • R. J. Bayardo Jr., R. Agrawal: Mining the most interesting rules. KDD 1999:145-154
    • (1999) KDD , pp. 145-154
    • Bayardo Jr., R.J.1    Agrawal, R.2
  • 4
    • 0024090156 scopus 로고
    • A new approach to the maximum flow problem
    • A. V. Goldberg and R. E. Tarjan: A new approach to the maximum flow problem. JACM 35 (4):921-940 (1988)
    • (1988) JACM , vol.35 , Issue.4 , pp. 921-940
    • Goldberg, A.V.1    Tarjan, R.E.2
  • 5
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • J. Han, J. Pei, Y. Yin: Mining frequent patterns without candidate generation. SIGMOD 2000:1-12
    • (2000) SIGMOD , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 6
    • 0000947357 scopus 로고    scopus 로고
    • Approximating clique and biclique problems
    • D. S. Hochbaum: Approximating clique and biclique problems. J. Algorithms 29 (1):174-200 (1998)
    • (1998) J. Algorithms , vol.29 , Issue.1 , pp. 174-200
    • Hochbaum, D.S.1
  • 7
    • 77952363424 scopus 로고    scopus 로고
    • Finding the most interesting correlations in a database... How hard can it be?
    • To appear, In
    • C. Jermaine. Finding the most interesting correlations in a database... How hard can it be? To appear In Inf. Systems J.
    • Inf. Systems J.
    • Jermaine, C.1
  • 8
    • 0033687894 scopus 로고    scopus 로고
    • Traversing itemset lattice with statistical metric pruning
    • S. Morishita, J. Sese: Traversing itemset lattice with statistical metric pruning. PODS 2000:226-236
    • (2000) PODS , pp. 226-236
    • Morishita, S.1    Sese, J.2
  • 9
    • 0034592782 scopus 로고    scopus 로고
    • Efficient search for association rules
    • G. I. Webb: Efficient search for association rules. KDD 2000:99-107
    • (2000) KDD , pp. 99-107
    • Webb, G.I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.