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Volumn 179, Issue 5, 2009, Pages 559-583

Efficient single-pass frequent pattern mining using a prefix-tree

Author keywords

Association rule; Data mining; Frequent pattern; Incremental mining; Interactive mining

Indexed keywords

ASSOCIATION RULES; ASSOCIATIVE PROCESSING; DATA MINING; DATA PROCESSING; DATABASE SYSTEMS; GROWTH (MATERIALS); INFORMATION MANAGEMENT; MINING; TERMINOLOGY;

EID: 57649183681     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2008.10.027     Document Type: Article
Times cited : (134)

References (34)
  • 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 Conference, 2000, pp. 108-118.
    • R.C. Agarwal, C.C. Aggarwal, V.V.V. Prasad, Depth first generation of long patterns, in: Proceedings of the Sixth ACM SIGKDD Conference, 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, 1993, pp. 207-216.
    • 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, 1993, pp. 207-216.
  • 3
    • 57649183836 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.
    • 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.
  • 5
    • 57649210657 scopus 로고    scopus 로고
    • T. Brijs, G. Swinnen, K. Vanhoof, G. Wets, Using association rules for product assortment decisions: a case study, in: Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining, San Diego (USA), 1999, pp. 254-260.
    • T. Brijs, G. Swinnen, K. Vanhoof, G. Wets, Using association rules for product assortment decisions: a case study, in: Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining, San Diego (USA), 1999, pp. 254-260.
  • 6
    • 57649176779 scopus 로고    scopus 로고
    • C.H. Chang, S.H. Yang, Enhancing SWF for incremental association mining by itemset maintenance, in: Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2003.
    • C.H. Chang, S.H. Yang, Enhancing SWF for incremental association mining by itemset maintenance, in: Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2003.
  • 7
    • 38349081558 scopus 로고    scopus 로고
    • Efficient strategies for tough aggregate constraint-based sequential pattern mining
    • Chen E., Cao H., Li Q., and Qian T. Efficient strategies for tough aggregate constraint-based sequential pattern mining. Information Sciences 178 (2008) 1498-1518
    • (2008) Information Sciences , vol.178 , pp. 1498-1518
    • Chen, E.1    Cao, H.2    Li, Q.3    Qian, T.4
  • 8
    • 0036850692 scopus 로고    scopus 로고
    • Fuzzy association rules and the extended mining algorithms
    • Chen G., and Wei Q. Fuzzy association rules and the extended mining algorithms. Information Sciences 147 1-4 (2002) 201-228
    • (2002) Information Sciences , vol.147 , Issue.1-4 , pp. 201-228
    • Chen, G.1    Wei, Q.2
  • 9
    • 57649221470 scopus 로고    scopus 로고
    • D.W. Cheung, S.D. Lee, B. Kao, A general incremental technique for maintaining discovered association rules, in: Proceedings of the Fifth International Conference on Database Systems for Advanced Applications, 1997, pp. 185-194.
    • D.W. Cheung, S.D. Lee, B. Kao, A general incremental technique for maintaining discovered association rules, in: Proceedings of the Fifth International Conference on Database Systems for Advanced Applications, 1997, pp. 185-194.
  • 10
    • 84879079572 scopus 로고    scopus 로고
    • W. Cheung, O.R. Zaïane, Incremental mining of frequent patterns without candidate generation or support constraint, in: Proceedings of the Seventh International Database Engineering and Applications Symposium (IDEAS), 2003.
    • W. Cheung, O.R. Zaïane, Incremental mining of frequent patterns without candidate generation or support constraint, in: Proceedings of the Seventh International Database Engineering and Applications Symposium (IDEAS), 2003.
  • 11
    • 23944436942 scopus 로고    scopus 로고
    • What's hot and what's not: tracking most frequent items dynamically
    • Cormode G., and Muthukrishnan S. What's hot and what's not: tracking most frequent items dynamically. ACM Transactions on Database Systems 30 1 (2005) 249-278
    • (2005) ACM Transactions on Database Systems , vol.30 , Issue.1 , pp. 249-278
    • Cormode, G.1    Muthukrishnan, S.2
  • 13
    • 34547335088 scopus 로고    scopus 로고
    • Frequent pattern mining: current status and future directions
    • 10th Anniversary Issue
    • Han J., Cheng H., Xin D., and Yan X. Frequent pattern mining: current status and future directions. Data Mining and Knowledge Discovery (2007) 10th Anniversary Issue
    • (2007) Data Mining and Knowledge Discovery
    • Han, J.1    Cheng, H.2    Xin, D.3    Yan, X.4
  • 14
    • 0032627945 scopus 로고    scopus 로고
    • J. Han, G. Dong, G. Yin, Efficient mining of partial periodic patterns in time series database, in: Proceedings of IEEE International Conference on Data Mining, 1999.
    • J. Han, G. Dong, G. Yin, Efficient mining of partial periodic patterns in time series database, in: Proceedings of IEEE International Conference on Data Mining, 1999.
  • 15
    • 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.
    • 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.
  • 16
  • 17
    • 34948870441 scopus 로고    scopus 로고
    • Discovery of maximum length frequent itemsets
    • Hu T., Sung S.Y., Xiong H., and Fu Q. Discovery of maximum length frequent itemsets. Information Sciences 178 (2008) 69-87
    • (2008) Information Sciences , vol.178 , pp. 69-87
    • Hu, T.1    Sung, S.Y.2    Xiong, H.3    Fu, Q.4
  • 18
    • 78149355163 scopus 로고    scopus 로고
    • H. Huang, X. Wu, R. Relue, Association analysis with one scan of databases, in: Proceedings of the IEEE International Conference on Data Mining, 2002, pp. 629-632.
    • H. Huang, X. Wu, R. Relue, Association analysis with one scan of databases, in: Proceedings of the IEEE International Conference on Data Mining, 2002, pp. 629-632.
  • 19
    • 57649155658 scopus 로고    scopus 로고
    • IBM, QUEST Data Mining Project, .
    • IBM, QUEST Data Mining Project, .
  • 20
    • 35048834898 scopus 로고    scopus 로고
    • An efficient approach for maintaining association rules based on adjusting FP-tree structures
    • Lee Y.-J., Li J., Whang K.-Y., and Lee D. (Eds), Springer-Verlag, Berlin Heidelberg, New York
    • Koh J.-L., and Shieh S.-F. An efficient approach for maintaining association rules based on adjusting FP-tree structures. In: Lee Y.-J., Li J., Whang K.-Y., and Lee D. (Eds). Proceedings of the DASFAA (2004), Springer-Verlag, Berlin Heidelberg, New York 417-424
    • (2004) Proceedings of the DASFAA , pp. 417-424
    • Koh, J.-L.1    Shieh, S.-F.2
  • 22
    • 34250336422 scopus 로고    scopus 로고
    • An efficient algorithm for mining frequent inter-transaction patterns
    • Lee A.J.T., and Wang C.-S. An efficient algorithm for mining frequent inter-transaction patterns. Information Sciences 177 (2007) 3453-3476
    • (2007) Information Sciences , vol.177 , pp. 3453-3476
    • Lee, A.J.T.1    Wang, C.-S.2
  • 23
    • 35348990819 scopus 로고    scopus 로고
    • Incremental and interactive mining of web traversal patterns
    • Lee Y.-S., and Yen S.-J. Incremental and interactive mining of web traversal patterns. Information Sciences 178 (2008) 287-306
    • (2008) Information Sciences , vol.178 , pp. 287-306
    • Lee, Y.-S.1    Yen, S.-J.2
  • 24
    • 34147173382 scopus 로고    scopus 로고
    • CanTree: a canonical-order tree for incremental frequent-pattern mining
    • Leung C.K., Khan Q.I., Li Z., and Hoque T. CanTree: a canonical-order tree for incremental frequent-pattern mining. Knowledge and Information Systems 11 3 (2007) 287-311
    • (2007) Knowledge and Information Systems , vol.11 , Issue.3 , pp. 287-311
    • Leung, C.K.1    Khan, Q.I.2    Li, Z.3    Hoque, T.4
  • 25
    • 3142566293 scopus 로고    scopus 로고
    • Exploiting succinct constraints using FP-trees
    • Leung C.K.-S., Lakshmanan L.V.S., and Ng R.T. Exploiting succinct constraints using FP-trees. SIGKDD Explorer 4 1 (2002) 40-49
    • (2002) SIGKDD Explorer , vol.4 , Issue.1 , pp. 40-49
    • Leung, C.K.-S.1    Lakshmanan, L.V.S.2    Ng, R.T.3
  • 26
    • 33749380544 scopus 로고    scopus 로고
    • X. Li, X. Deng, S. Tang, A fast algorithm for maintenance of association rules in incremental databases, in: ADMA, 2006, pp. 56-63.
    • X. Li, X. Deng, S. Tang, A fast algorithm for maintenance of association rules in incremental databases, in: ADMA, 2006, pp. 56-63.
  • 27
    • 18544390144 scopus 로고    scopus 로고
    • From intra-transaction to generalized inter-transaction: landscaping multidimensional contexts in association rule mining
    • Li Q., Feng L., and Wong A. From intra-transaction to generalized inter-transaction: landscaping multidimensional contexts in association rule mining. Information Sciences 172 (2005) 361-395
    • (2005) Information Sciences , vol.172 , pp. 361-395
    • Li, Q.1    Feng, L.2    Wong, A.3
  • 28
    • 5144226703 scopus 로고    scopus 로고
    • Interactive sequence discovery by incremental mining
    • Lin M.-Y., and Lee S.-Y. Interactive sequence discovery by incremental mining. Information Sciences 165 (2004) 187-205
    • (2004) Information Sciences , vol.165 , pp. 187-205
    • Lin, M.-Y.1    Lee, S.-Y.2
  • 29
    • 33751196126 scopus 로고    scopus 로고
    • CFP-tree: a compact disk-based structure for storing and querying frequent itemsets
    • Liua G., Lua H., and Yub J.X. CFP-tree: a compact disk-based structure for storing and querying frequent itemsets. Information Systems 32 (2007) 295-319
    • (2007) Information Systems , vol.32 , pp. 295-319
    • Liua, G.1    Lua, H.2    Yub, J.X.3
  • 30
    • 57649200622 scopus 로고    scopus 로고
    • N.F. Ayan A.U. Tansel E. Akrun, An efficient algorithm to update large itemsets with early pruning, in: Proceedings of the fifty ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999, pp. 287 - 291.
    • N.F. Ayan A.U. Tansel E. Akrun, An efficient algorithm to update large itemsets with early pruning, in: Proceedings of the fifty ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999, pp. 287 - 291.
  • 31
    • 0035016447 scopus 로고    scopus 로고
    • Mining frequent itemsets with convertible constraints
    • Buchmann A., and Georgakopoulos D. (Eds), IEEE Computer Society Press, Los Alamitos, CA
    • Pei J., Han J., and Lakshmanan L.V.S. Mining frequent itemsets with convertible constraints. In: Buchmann A., and Georgakopoulos D. (Eds). Proceedings of the International Conference on Data Engineering (2001), IEEE Computer Society Press, Los Alamitos, CA 433-442
    • (2001) Proceedings of the International Conference on Data Engineering , pp. 433-442
    • Pei, J.1    Han, J.2    Lakshmanan, L.V.S.3
  • 32
    • 1342285564 scopus 로고    scopus 로고
    • An efficient cluster and decomposition algorithm for mining association rules
    • Tsay Y.J., and Chiang J.Y. An efficient cluster and decomposition algorithm for mining association rules. Information Sciences 160 1-4 (2004) 161-171
    • (2004) Information Sciences , vol.160 , Issue.1-4 , pp. 161-171
    • Tsay, Y.J.1    Chiang, J.Y.2
  • 33
    • 34447096806 scopus 로고    scopus 로고
    • A new approach to mine frequent patterns using item-transformation methods
    • Wua F., Chiang S.-W., and Linb J.-R. A new approach to mine frequent patterns using item-transformation methods. Information Systems 32 (2007) 1056-1072
    • (2007) Information Systems , vol.32 , pp. 1056-1072
    • Wua, F.1    Chiang, S.-W.2    Linb, J.-R.3
  • 34
    • 34147142304 scopus 로고    scopus 로고
    • EDUA: an efficient algorithm for dynamic database mining
    • Zhang S., Zhang J., and Zhang C. EDUA: an efficient algorithm for dynamic database mining. Information Sciences 177 (2007) 2756-2767
    • (2007) Information Sciences , vol.177 , pp. 2756-2767
    • Zhang, S.1    Zhang, J.2    Zhang, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.