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Volumn 29, Issue 2, 2000, Pages 1-12

Mining frequent patterns without candidate generation

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EID: 0039253846     PISSN: 01635808     EISSN: None     Source Type: Journal    
DOI: 10.1145/335191.335372     Document Type: Article
Times cited : (5675)

References (20)
  • 3
    • 0002221136 scopus 로고    scopus 로고
    • Fast algorithms for mining association rules
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In VLDB'94, pp. 487-499.
    • VLDB'94 , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 4
    • 0029212693 scopus 로고    scopus 로고
    • Mining sequential patterns
    • R. Agrawal and R. Srikant. Mining sequential patterns. In ICDE'95, pp. 3-14.
    • ICDE'95 , pp. 3-14
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 0032091573 scopus 로고    scopus 로고
    • Efficiently mining long patterns from databases
    • R. J. Bayardo. Efficiently mining long patterns from databases. In SIGMOD'98, pp. 85-93.
    • SIGMOD'98 , pp. 85-93
    • Bayardo, R.J.1
  • 6
    • 0031161999 scopus 로고    scopus 로고
    • Beyond market basket: Generalizing association rules to correlations
    • S. Brin, R. Motwani, and C. Silverstein. Beyond market basket: Generalizing association rules to correlations. In SIGMOD'97, pp. 265-276.
    • SIGMOD'97 , pp. 265-276
    • Brin, S.1    Motwani, R.2    Silverstein, C.3
  • 7
    • 0002034653 scopus 로고    scopus 로고
    • Efficient mining of emerging patterns: Discovering trends and differences
    • G. Dong and J. Li. Efficient mining of emerging patterns: Discovering trends and differences. In KDD'99, pp. 43-52.
    • KDD'99 , pp. 43-52
    • Dong, G.1    Li, J.2
  • 8
    • 0033892546 scopus 로고    scopus 로고
    • Efficient mining of constrained correlated sets
    • G. Grahne, L. Lakshmanan, and X. Wang. Efficient mining of constrained correlated sets. In ICDE'00.
    • ICDE'00
    • Grahne, G.1    Lakshmanan, L.2    Wang, X.3
  • 9
    • 0032627945 scopus 로고    scopus 로고
    • Efficient mining of partial periodic patterns in time series database
    • J. Han, G. Dong, and Y. Yin. Efficient mining of partial periodic patterns in time series database. In ICDE'99, pp. 106-115.
    • ICDE'99 , pp. 106-115
    • Han, J.1    Dong, G.2    Yin, Y.3
  • 10
    • 0003863164 scopus 로고    scopus 로고
    • Mining partial periodicity using frequent pattern trees
    • Simon Fraser University, July
    • J. Han, J. Pei, and Y. Yin. Mining partial periodicity using frequent pattern trees. In CS Tech. Rep. 99-10, Simon Fraser University, July 1999.
    • (1999) CS Tech. Rep. 99-10
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 11
    • 0005187580 scopus 로고    scopus 로고
    • Metarule-guided mining of multi-dimensional association rules using data cubes
    • M. Kamber, J. Han, and J. Y. Chiang. Metarule-guided mining of multi-dimensional association rules using data cubes. In KDD'97, pp. 207-210.
    • KDD'97 , pp. 207-210
    • Kamber, M.1    Han, J.2    Chiang, J.Y.3
  • 13
    • 0030643619 scopus 로고    scopus 로고
    • Clustering association rules
    • B. Lent, A. Swami, and J. Widom. Clustering association rules. In ICDE'97, pp. 220-231.
    • ICDE'97 , pp. 220-231
    • Lent, B.1    Swami, A.2    Widom, J.3
  • 15
    • 0032092760 scopus 로고    scopus 로고
    • Exploratory mining and pruning optimizations of constrained associations rules
    • R. Ng, L. V. S. Lakshmanan, J. Han, and A. Pang. Exploratory mining and pruning optimizations of constrained associations rules. In SIGMOD'98, pp. 13-24.
    • SIGMOD'98 , pp. 13-24
    • Ng, R.1    Lakshmanan, L.V.S.2    Han, J.3    Pang, A.4
  • 16
    • 84976830511 scopus 로고    scopus 로고
    • An effective hash-based algorithm for mining association rules
    • J.S. Park, M.S. Chen, and P.S. Yu. An effective hash-based algorithm for mining association rules. In SIGMOD'95, pp. 175-186.
    • SIGMOD'95 , pp. 175-186
    • Park, J.S.1    Chen, M.S.2    Yu, P.S.3
  • 17
    • 0032094477 scopus 로고    scopus 로고
    • Integrating association rule mining with relational database systems: Alternatives and implications
    • S. Sarawagi, S. Thomas, and R. Agrawal. Integrating association rule mining with relational database systems: Alternatives and implications. In SIGMOD'98, pp. 343-354.
    • SIGMOD'98 , pp. 343-354
    • Sarawagi, S.1    Thomas, S.2    Agrawal, R.3
  • 18
    • 0002082858 scopus 로고    scopus 로고
    • An efficient algorithm for mining association rules in large databases
    • A. Savasere, E. Omiecinski, and S. Navathe. An efficient algorithm for mining association rules in large databases. In VLDB'95, pp. 432-443.
    • VLDB'95 , pp. 432-443
    • Savasere, A.1    Omiecinski, E.2    Navathe, S.3
  • 19
  • 20
    • 85162588849 scopus 로고    scopus 로고
    • Mining association rules with item constraints
    • R. Srikant, Q. Vu, and R. Agrawal. Mining association rules with item constraints. In KDD'97, pp. 67-73.
    • KDD'97 , pp. 67-73
    • Srikant, R.1    Vu, Q.2    Agrawal, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.