메뉴 건너뛰기




Volumn 178, Issue 1, 2008, Pages 69-87

Discovery of maximum length frequent itemsets

Author keywords

Association analysis; Data mining; FP tree; Frequent itemsets; Maximum length frequent itemsets

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; OPTIMIZATION; PROBLEM SOLVING; TREES (MATHEMATICS);

EID: 34948870441     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2007.08.006     Document Type: Article
Times cited : (66)

References (25)
  • 1
    • 0034592748 scopus 로고    scopus 로고
    • R.C. Agarwal, C.C. Aggarwal, V.V.V. Prasad, Depth first generation of long patterns, in: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000, pp. 108-118.
  • 2
    • 0027621699 scopus 로고    scopus 로고
    • R. Agrawal, T. Imielinski, A.N. Swami, Mining association rules between sets of items in large databases, in: Proceedings of the ACM SIGMOD Conference on Management of Data, pages, 1993, pp. 207-216.
  • 3
    • 34948873869 scopus 로고    scopus 로고
    • R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proceedings of the 20th International Conference on Vary Large Data Bases, 1994, pp. 487-499.
  • 4
    • 0032091573 scopus 로고    scopus 로고
    • R.J. Bayardo, Efficiently mining long patterns from databases, in: Proceedings of ACM SIGMOD International Conference on Management of Data, 1998, pp. 85-93.
  • 5
    • 0242540441 scopus 로고    scopus 로고
    • F. Beil, M. Ester, X. Xu, Frequent term-based text clustering, in: Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002, pp. 436-442.
  • 6
    • 0035007850 scopus 로고    scopus 로고
    • D. Burdick, M. Calimlim, J. Gehrke, MAFIA: A maximal frequent itemset algorithm for transaction databases, in: Proceedings of the 17th International Conference on Data Engineering, 2001, pp. 443-452.
  • 7
    • 84879079572 scopus 로고    scopus 로고
    • W. Cheung, O.R. Zaiane, Incremental mining of frequent patterns without candidate generation or support constraint, in: Proceedings of the 7th International Database Engineering and Applications Symposium, 2003, pp. 111-116.
  • 8
    • 34948876018 scopus 로고    scopus 로고
    • B.C.M. Fung, K. Wang, M. Ester, Large hierarchical document clustering using frequent itemsets, in: Proceedings of the Third SIAM International Conference on Data Mining, 2003.
  • 9
    • 78149351437 scopus 로고    scopus 로고
    • K. Gouda, M.J. Zaki, Efficiently mining maximal frequent itemsets, in: Proceedings of the First IEEE International Conference on Data Mining, 2001, pp. 163-170.
  • 10
    • 34948905450 scopus 로고    scopus 로고
    • G. Grahne, J. Zhu, High performance mining of maximal frequent itemsets, in: Proceedings of the Sixth SIAM International Workshop on High Performance Data Mining, pages, 2003, pp. 135-143.
  • 11
    • 0039253846 scopus 로고    scopus 로고
    • J. Han, J. Pei, Y. Yin, Mining frequent patterns without candidate generation, in: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000, pp. 1-12.
  • 12
    • 0002784345 scopus 로고    scopus 로고
    • Algorithms for association rule mining - a general survey and comparison
    • Hipp J., Guntzer U., and Nakaeizadeh G. Algorithms for association rule mining - a general survey and comparison. SIGKDD Explorations 2 1 (2000) 58-64
    • (2000) SIGKDD Explorations , vol.2 , Issue.1 , pp. 58-64
    • Hipp, J.1    Guntzer, U.2    Nakaeizadeh, G.3
  • 13
    • 31944451673 scopus 로고    scopus 로고
    • Looking into the seeds of time: Discovering temporal patterns in large transaction sets
    • Li Y., Zhu S., Wang X.S., and Jajodia S. Looking into the seeds of time: Discovering temporal patterns in large transaction sets. Information Sciences 176 8 (2006) 1003-1031
    • (2006) Information Sciences , vol.176 , Issue.8 , pp. 1003-1031
    • Li, Y.1    Zhu, S.2    Wang, X.S.3    Jajodia, S.4
  • 14
    • 84890521199 scopus 로고    scopus 로고
    • D. Lin, Z.M. Kedem, Pincer-search: a new algorithm for discovering the maximum frequent itemset, in: Proceedings of the Sixth International Conference on Extending Database Technology, 1998, pp. 105-119.
  • 15
    • 34948872244 scopus 로고    scopus 로고
    • D.J. Newman, S. Hettich, C.L. Blake, C.J. Merz, UCI repository of machine learning databases. http://www.ics.uci.edu/~mlearn/MLRepository.html, 1998.
  • 16
    • 34948839644 scopus 로고    scopus 로고
    • J. Pei, J. Han, R. Mao, CLOSET: an efficient algorithm for mining frequent closed itemsets, in: Proceedings of the Fifth ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2000, pp. 21-30.
  • 17
    • 0005810893 scopus 로고    scopus 로고
    • P. Shenoy, J.R. Haritsa, S. Sudarshan, G. Bhalotia, M. Bawa, D. Shah, Turbo-charging vertical mining of large databases, in: Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 2000, pp. 22-33.
  • 18
    • 84897708583 scopus 로고    scopus 로고
    • R. Srikant, R. Agrawal, Mining sequential patterns: generalizations and performance improvements, in: Proceedings of the Fifth International Conference on Extending Database Technology, 1996, pp. 3-17.
  • 19
    • 84937713687 scopus 로고    scopus 로고
    • M. Wojciechowski, M. Zakrzewicz, Dataset filtering techniques in constraint-based frequent pattern mining, in: Proceedings of ESF Exploratory Workshop on Pattern Detection and Discovery, 2002, pp. 77-91.
  • 20
    • 12244259488 scopus 로고    scopus 로고
    • H. Xiong, P.-N. Tan, V. Kumar, Mining strong affinity association patterns in data sets with skewed support distribution, in: Proceedings of the Third IEEE International Conference on Data Mining, 2003, pp. 387-394.
  • 22
    • 33646140552 scopus 로고    scopus 로고
    • A false negative approach to mining frequent itemsets from high speed transactional data streams
    • Yu J.X., Chong Z., Lu H., Zhang Z., and Zhou A. A false negative approach to mining frequent itemsets from high speed transactional data streams. Information Sciences 176 14 (2006) 1986-2015
    • (2006) Information Sciences , vol.176 , Issue.14 , pp. 1986-2015
    • Yu, J.X.1    Chong, Z.2    Lu, H.3    Zhang, Z.4    Zhou, A.5
  • 23
    • 0034826102 scopus 로고    scopus 로고
    • SPADE: an efficient algorithm for mining frequent sequences
    • Zaki M.J. SPADE: an efficient algorithm for mining frequent sequences. Machine Learning 42 1/2 (2001) 31-60
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 31-60
    • Zaki, M.J.1
  • 24
    • 34948869537 scopus 로고    scopus 로고
    • M.J. Zaki, K. Gouda, Fast vertical mining using diffsets. Technical Report 01-1, Compuer Science Department, Rensselaer Polytechnic Institute, 2001.
  • 25
    • 34948899525 scopus 로고    scopus 로고
    • M.J. Zaki, C.-J. Hsiao, CHARM: an efficient algorithm for closed itemset mining, in: Proceedings of the Second SIAM International Conference on Data Mining, 2002, pp. 12-28.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.