메뉴 건너뛰기




Volumn 2838, Issue , 2003, Pages 71-82

Minimal k-free representations of frequent sets

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; ASSOCIATIVE PROCESSING; COMPUTER SCIENCE; DATABASE SYSTEMS; INFORMATION TECHNOLOGY; ARTIFICIAL INTELLIGENCE; COMPUTERS;

EID: 9444245915     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39804-2_9     Document Type: Conference Paper
Times cited : (33)

References (17)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • Washington, D.C.
    • R. Agrawal, T. Imilienski, and A. Swami. Mining association rules between sets of items in large databases. In Proc. ACM SIGMOD, pages 207-216, Washington, D.C., 1993.
    • (1993) Proc. ACM SIGMOD , pp. 207-216
    • Agrawal, R.1    Imilienski, T.2    Swami, A.3
  • 3
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Irvine, Dept. of Information and Computer Sciences
    • C.L. Blake and C.J. Merz. 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.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 4
    • 84942749652 scopus 로고    scopus 로고
    • Frequent closures as a concise representation for binary data mining
    • J.-F. Boulicaut and A. Bykowski. Frequent closures as a concise representation for binary data mining. In Proc. PaKDD, pages 62-73, 2000.
    • (2000) Proc. PaKDD , pp. 62-73
    • Boulicaut, J.-F.1    Bykowski, A.2
  • 5
    • 84974681737 scopus 로고    scopus 로고
    • Approximation of frequency queries by means of free-sets
    • J.-F. Boulicaut, A. Bykowski, and C. Rigotti. Approximation of frequency queries by means of free-sets. In Proc. PKDD, pages 75-85, 2000.
    • (2000) Proc. PKDD , pp. 75-85
    • Boulicaut, J.-F.1    Bykowski, A.2    Rigotti, C.3
  • 6
    • 0345817937 scopus 로고    scopus 로고
    • A condensed representation to find frequent patterns
    • A. Bykowski and C. Rigotti. A condensed representation to find frequent patterns. In Proc. PODS, 2001.
    • (2001) Proc. PODS
    • Bykowski, A.1    Rigotti, C.2
  • 8
    • 84864832875 scopus 로고    scopus 로고
    • Mining all non-derivable frequent itemsets
    • Springer
    • T. Calders and B. Goethals. Mining all non-derivable frequent itemsets. In Proc. PKDD, pages 74-85. Springer, 2002.
    • (2002) Proc. PKDD , pp. 74-85
    • Calders, T.1    Goethals, B.2
  • 10
    • 0038122164 scopus 로고    scopus 로고
    • Concise representation of frequent patterns based on disjunction-free generators
    • M. Kryszkiewicz. Concise representation of frequent patterns based on disjunction-free generators. In Proc. ICDM, pages 305-312, 2001.
    • (2001) Proc. ICDM , pp. 305-312
    • Kryszkiewicz, M.1
  • 11
    • 84945313149 scopus 로고    scopus 로고
    • Concise representation of frequent patterns based on generalized disjunction-free generators
    • M. Kryszkiewicz and M. Gajek. Concise representation of frequent patterns based on generalized disjunction-free generators. In Proc. PaKDD, pages 159-171, 2002.
    • (2002) Proc. PaKDD , pp. 159-171
    • Kryszkiewicz, M.1    Gajek, M.2
  • 12
    • 0345817934 scopus 로고    scopus 로고
    • Why to apply generalized disjunction-free generators representation of frequent patterns?
    • M. Kryszkiewicz and M. Gajek. Why to apply generalized disjunction-free generators representation of frequent patterns? In Proc. ISMIS, pages 382-392, 2002.
    • (2002) Proc. ISMIS , pp. 382-392
    • Kryszkiewicz, M.1    Gajek, M.2
  • 13
    • 0001128875 scopus 로고    scopus 로고
    • Multiple uses of frequent sets and condensed representations
    • H. Mannila and H. Toivonen. Multiple uses of frequent sets and condensed representations. In Proc. KDD, 1996.
    • (1996) Proc. KDD
    • Mannila, H.1    Toivonen, H.2
  • 14
    • 84911977993 scopus 로고    scopus 로고
    • Discovering frequent closed itemsets for association rules
    • N. Pasquier, Y. Bastide, R. Taouil, and L. Lakhal. Discovering frequent closed itemsets for association rules. In Proc. ICDT, pages 398-416, 1999.
    • (1999) Proc. ICDT , pp. 398-416
    • Pasquier, N.1    Bastide, Y.2    Taouil, R.3    Lakhal, L.4
  • 15
    • 0002625450 scopus 로고    scopus 로고
    • Closet: An efficient algorithm for mining frequent closed itemsets
    • Dallas, TX
    • J. Pei, J. Han, and R. Mao. Closet: An efficient algorithm for mining frequent closed itemsets. In ACM SIGMOD Workshop DMKD, Dallas, TX, 2000.
    • (2000) ACM SIGMOD Workshop DMKD
    • Pei, J.1    Han, J.2    Mao, R.3
  • 17
    • 0035788918 scopus 로고    scopus 로고
    • Real world performance of association rule algorithms
    • Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In Proc. KDD, pages 401-406, 2001.
    • (2001) Proc. KDD , pp. 401-406
    • Zheng, Z.1    Kohavi, R.2    Mason, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.