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Volumn 30, Issue 2, 2005, Pages 333-363

Tight upper bounds on the number of candidate patterns

Author keywords

Additional Key Words and Phrases: Data mining; Frequent patterns; Upper bounds

Indexed keywords

CANDIDATE PATTERNS; COMBINATORIAL EXPLOSION; STANDARD LEVELWISE ALGORITHM;

EID: 23944472645     PISSN: 03625915     EISSN: None     Source Type: Journal    
DOI: 10.1145/1071610.1071611     Document Type: Review
Times cited : (24)

References (31)
  • 2
    • 0141764033 scopus 로고    scopus 로고
    • A tree projection algorithm for generation of frequent itemsets
    • AGARWAL, R., AGGARWAL, C., AND PRASAD, V. 2001. A tree projection algorithm for generation of frequent itemsets. J. Parallel Distrib. Comput. 61, 3 (March), 350-371.
    • (2001) J. Parallel Distrib. Comput. , vol.61 , Issue.3 MARCH , pp. 350-371
    • Agarwal, R.1    Aggarwal, C.2    Prasad, V.3
  • 6
    • 0038250644 scopus 로고
    • Fast algorithms for mining association rules
    • IBM Alamaden Research Center, San Jose, California. June
    • AGRAWAL, R. AND SRIKANT, R. 1994b. Fast algorithms for mining association rules. IBM Research Report RJ9839, IBM Alamaden Research Center, San Jose, California. June.
    • (1994) IBM Research Report , vol.RJ9839
    • Agrawal, R.1    Srikant, R.2
  • 8
    • 0032091573 scopus 로고    scopus 로고
    • Efficiently mining long patterns from databases
    • L. Haas and A. Tiwary, Eds. SIGMOD Record. ACM Press
    • BAYARDO, R. 1998. Efficiently mining long patterns from databases. In Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, L. Haas and A. Tiwary, Eds. SIGMOD Record, vol. 27:2. ACM Press, 85-93.
    • (1998) Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data , vol.27 , Issue.2 , pp. 85-93
    • Bayardo, R.1
  • 9
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Irvine, Dept. of Information and Computer Sciences
    • BLAKE, C. AND MERZ, C. 1998. UCI Repository of machine learning databases. University of California, Irvine, Dept. of Information and Computer Sciences, http://www.ics.uci.edu/mlearn/MLRepository.html.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.1    Merz, C.2
  • 10
  • 11
    • 0037243046 scopus 로고    scopus 로고
    • Free-sets: A condensed representation of Boolean data for frequency query approximation
    • BOULICAUT, J.-F., BYKOWSKI, A., AND RIGOTTI, C. 2003. Free-sets: a condensed representation of Boolean data for frequency query approximation. Data Mining and Knowledge Discovery 7, 1, 5-22.
    • (2003) Data Mining and Knowledge Discovery , vol.7 , Issue.1 , pp. 5-22
    • Boulicaut, J.-F.1    Bykowski, A.2    Rigotti, C.3
  • 14
    • 0037566638 scopus 로고
    • A new short proof for the Kruskal-Katona theorem
    • FRANKL, P. 1984. A new short proof for the Kruskal-Katona theorem. Discrete Mathematics 48, 327-329.
    • (1984) Discrete Mathematics , vol.48 , pp. 327-329
    • Frankl, P.1
  • 17
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • W. Chen, J. Naughton, and P. Bernstein, Eds. SIGMOD Record. ACM Press
    • HAN, J., PEI, J., AND YIN, Y. 2000. Mining frequent patterns without candidate generation. In Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, W. Chen, J. Naughton, and P. Bernstein, Eds. SIGMOD Record, vol. 29:2. ACM Press, 1-12.
    • (2000) Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data , vol.29 , Issue.2 , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 18
    • 0002545677 scopus 로고
    • A theorem of finite sets
    • Akadémia Kiadó
    • KATONA, G. 1968. A theorem of finite sets. In Theory Of Graphs. Akadémia Kiadó, 187-207.
    • (1968) ITheory of Graphs , pp. 187-207
    • Katona, G.1
  • 19
    • 0001880210 scopus 로고    scopus 로고
    • KDD-cup 2000 organizers' report: Peeling the onion
    • KOHAVI, R., BRODLEY, C., FRASCA, B., MASON, L., AND ZHENG, Z. 2000. KDD-Cup 2000 organizers' report: Peeling the onion. SIGKDD Explorations 2, 2, 86-98. http://www.ecn.purdue.edu/KDDCUP.
    • (2000) SIGKDD Explorations , vol.2 , Issue.2 , pp. 86-98
    • Kohavi, R.1    Brodley, C.2    Frasca, B.3    Mason, L.4    Zheng, Z.5
  • 20
    • 85190779507 scopus 로고
    • The number of simplices in a complex
    • Univ. of California Press
    • KRUSKAL, J. 1963. The number of simplices in a complex. In Mathematical Optimization Techniques. Univ. of California Press, 251-278.
    • (1963) Mathematical Optimization Techniques , pp. 251-278
    • Kruskal, J.1
  • 21
    • 84890521199 scopus 로고    scopus 로고
    • Pincer-search: A new algorithm for discovering the maximum frequent set
    • H.-J. Schek, F. Saltor, I. Ramos, and G. Alonso, Eds. Lecture Notes in Computer Science. Springer
    • LIN, D. AND KEDEM, Z. 1998. Pincer-search: A new algorithm for discovering the maximum frequent set. In EDBT, H.-J. Schek, F. Saltor, I. Ramos, and G. Alonso, Eds. Lecture Notes in Computer Science, vol. 1377. Springer, 105-119.
    • (1998) EDBT , vol.1377 , pp. 105-119
    • Lin, D.1    Kedem, Z.2
  • 28
    • 0002663969 scopus 로고    scopus 로고
    • Sampling large databases for association rules
    • T. M. Vijayaraman, A. P. Buchmann, C. Mohan, and N. L. Sarda, Eds. Kaufmann
    • TOIVONEN, H. 1996. Sampling large databases for association rules. In Proceedings of the 22th International Conference on Very Large Data Bases, T. M. Vijayaraman, A. P. Buchmann, C. Mohan, and N. L. Sarda, Eds. Kaufmann, 134-145.
    • (1996) Proceedings of the 22th International Conference on Very Large Data Bases , pp. 134-145
    • Toivonen, H.1
  • 29
    • 0347709684 scopus 로고    scopus 로고
    • CHARM: An efficient algorithm for closed itemset mining
    • R. Grossman, J. Han, V. Kumar, H. Mannila, and R. Motwani, Eds. SIAM
    • ZAKI, M. AND HSIAO, C.-J. 2002. CHARM: An efficient algorithm for closed itemset mining. In Proceedings of the Second SIAM International Conference on Data Mining, R. Grossman, J. Han, V. Kumar, H. Mannila, and R. Motwani, Eds. SIAM.
    • (2002) Proceedings of the Second SIAM International Conference on Data Mining
    • Zaki, M.1    Hsiao, C.-J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.