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Volumn 180, Issue 17, 2010, Pages 3316-3334

Knowledge gathering of fuzzy multi-time-interval sequential patterns

Author keywords

Data mining; Fuzzy sets; Multi time interval; Sequence data; Sequential pattern

Indexed keywords

APRIORI; BIOLOGICAL SEQUENCES; CONSUMER SHOPPING; INTERVAL SEQUENCES; KNOWLEDGE GATHERING; LINGUISTIC TERMS; MINING SEQUENTIAL PATTERNS; PREFIXSPAN; REAL DATA SETS; SEQUENCE DATA; SEQUENTIAL PATTERNS; SHARP BOUNDARY PROBLEM; TIME INTERVAL; TIME RANGE; TIME-INTERVAL PATTERNS; WEB CLICKSTREAMS;

EID: 77953727642     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2010.04.024     Document Type: Article
Times cited : (11)

References (41)
  • 2
    • 0029212693 scopus 로고    scopus 로고
    • R. Agrawal, R. Srikant, Mining Sequential Patterns, in: Proceedings of the of 11th International Conference on Data Engineering, March 1995, pp. 3-14.
    • R. Agrawal, R. Srikant, Mining Sequential Patterns, in: Proceedings of the of 11th International Conference on Data Engineering, March 1995, pp. 3-14.
  • 4
    • 0036643492 scopus 로고    scopus 로고
    • Mining hybrid sequential patterns and sequential rules
    • Chen Y.L., Chen S.S., and Hsu P.Y. Mining hybrid sequential patterns and sequential rules. Information Systems 27 5 (2002) 345-362
    • (2002) Information Systems , vol.27 , Issue.5 , pp. 345-362
    • Chen, Y.L.1    Chen, S.S.2    Hsu, P.Y.3
  • 5
    • 0141921659 scopus 로고    scopus 로고
    • Discovering time-interval sequential patterns in sequence databases
    • Chen Y.L., Chiang M.C., and Ko M.T. Discovering time-interval sequential patterns in sequence databases. Expert Systems with Applications 25 3 (2003) 343-354
    • (2003) Expert Systems with Applications , vol.25 , Issue.3 , pp. 343-354
    • Chen, Y.L.1    Chiang, M.C.2    Ko, M.T.3
  • 7
    • 33646238952 scopus 로고    scopus 로고
    • A new approach for discovering fuzzy quantitative sequential patterns in sequence databases
    • Chen Y.L., and Huang T.C.K. A new approach for discovering fuzzy quantitative sequential patterns in sequence databases. Fuzzy Sets and Systems 157 12 (2006) 1641-1661
    • (2006) Fuzzy Sets and Systems , vol.157 , Issue.12 , pp. 1641-1661
    • Chen, Y.L.1    Huang, T.C.K.2
  • 9
    • 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 6 (2008) 1498-1518
    • (2008) Information Sciences , vol.178 , Issue.6 , pp. 1498-1518
    • Chen, E.1    Cao, H.2    Li, Q.3    Qian, T.4
  • 10
    • 37249073911 scopus 로고    scopus 로고
    • From crispness to fuzziness: three algorithms for soft sequential pattern mining
    • Fiot C., Laurent A., and Teisseire M. From crispness to fuzziness: three algorithms for soft sequential pattern mining. IEEE Transactions on Fuzzy Systems 15 6 (2007) 1263-1277
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , Issue.6 , pp. 1263-1277
    • Fiot, C.1    Laurent, A.2    Teisseire, M.3
  • 12
    • 0032627945 scopus 로고    scopus 로고
    • J. Han, G. Dong, Y. Yin, Efficient Mining of Partial Periodic Patterns in Time Series Database, in: Proceedings of the 1999 International Conference on Data Engineering, 1999, pp. 106-115.
    • J. Han, G. Dong, Y. Yin, Efficient Mining of Partial Periodic Patterns in Time Series Database, in: Proceedings of the 1999 International Conference on Data Engineering, 1999, pp. 106-115.
  • 16
    • 33646903232 scopus 로고    scopus 로고
    • Mining fuzzy sequential patterns from quantitative transactions
    • Hong T.P., Lin K.Y., and Wang S.L. Mining fuzzy sequential patterns from quantitative transactions. Soft Computing 10 10 (2006) 925-932
    • (2006) Soft Computing , vol.10 , Issue.10 , pp. 925-932
    • Hong, T.P.1    Lin, K.Y.2    Wang, S.L.3
  • 18
    • 1642338696 scopus 로고    scopus 로고
    • A universal formulation of sequential patterns
    • Technical Report, Department of Computer Science, University of Minnesota
    • M.V. Joshi, G. Karypis, V. Kumar. A universal formulation of sequential patterns, Technical Report, Department of Computer Science, University of Minnesota, 1999.
    • (1999)
    • Joshi, M.V.1    Karypis, G.2    Kumar, V.3
  • 19
    • 9444298518 scopus 로고    scopus 로고
    • Constraint-based mining of sequential patterns over datasets with consecutive repetitions
    • Leleu M., Rigotti C., Boulicaut J.-F., and Euvrard G. Constraint-based mining of sequential patterns over datasets with consecutive repetitions. Lecture Notes in Computer Science 2838 (2003) 303-314
    • (2003) Lecture Notes in Computer Science , vol.2838 , pp. 303-314
    • Leleu, M.1    Rigotti, C.2    Boulicaut, J.-F.3    Euvrard, G.4
  • 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 2 (2008) 287-306
    • (2008) Information Sciences , vol.178 , Issue.2 , pp. 287-306
    • Lee, Y.S.1    Yen, S.J.2
  • 24
    • 51349163865 scopus 로고    scopus 로고
    • Fast discovery of sequential patterns in large databases using effective time-indexing
    • Lin M.Y., Hsueh S.C., and Chang C.W. Fast discovery of sequential patterns in large databases using effective time-indexing. Information Sciences 178 22 (2008) 4228-4245
    • (2008) Information Sciences , vol.178 , Issue.22 , pp. 4228-4245
    • Lin, M.Y.1    Hsueh, S.C.2    Chang, C.W.3
  • 32
    • 0346972419 scopus 로고    scopus 로고
    • Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining
    • Hu Y.C., Tzeng G.H., and Chen C.M. Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining. Information Sciences 159 1-2 (2004) 69-86
    • (2004) Information Sciences , vol.159 , Issue.1-2 , pp. 69-86
    • Hu, Y.C.1    Tzeng, G.H.2    Chen, C.M.3
  • 34
    • 0037364661 scopus 로고    scopus 로고
    • A framework for reuse of user experience in web browsing
    • Song G., and Salvendy G. A framework for reuse of user experience in web browsing. Behaviour & Information Technology 22 2 (2003) 79
    • (2003) Behaviour & Information Technology , vol.22 , Issue.2 , pp. 79
    • Song, G.1    Salvendy, G.2
  • 36
    • 0037213417 scopus 로고    scopus 로고
    • Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns
    • Stejic Z., Takamn Y., and Hirota K. Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns. Information Processing and Management 39 1 (2003) 1-23
    • (2003) Information Processing and Management , vol.39 , Issue.1 , pp. 1-23
    • Stejic, Z.1    Takamn, Y.2    Hirota, K.3
  • 37
    • 0035501283 scopus 로고    scopus 로고
    • Efficient mining of traversal patterns
    • Xiao Y., and Dunham M.H. Efficient mining of traversal patterns. Data and Knowledge Engineering 39 2 (2001) 191-214
    • (2001) Data and Knowledge Engineering , vol.39 , Issue.2 , pp. 191-214
    • Xiao, Y.1    Dunham, M.H.2
  • 39
  • 40
    • 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 Journal 42 1/2 (2001) 31-60
    • (2001) Machine Learning Journal , vol.42 , Issue.1-2 , pp. 31-60
    • Zaki, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.