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Volumn , Issue , 2007, Pages 120-126

SSM: A frequent sequential data stream patterns miner

Author keywords

Click steam data; Customer access sequence; Frequent sequential patterns; Stream mining; Web sequential mining

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA STORAGE EQUIPMENT; DATA STRUCTURES; SENSOR DATA FUSION; SENSOR NETWORKS;

EID: 34548767855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2007.368862     Document Type: Conference Paper
Times cited : (25)

References (14)
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    • Ezeife, C.I. and Lu, Yi. 2005. Mining Web Log sequential Patterns with Position Coded Pre-Order Linked WAP-tree. the International Journal of Data Mining and Knowledge Discovery (DMKD), 10, pp. 5-38, Kluwer Academic Publishers, June
    • Ezeife, C.I. and Lu, Yi. 2005. Mining Web Log sequential Patterns with Position Coded Pre-Order Linked WAP-tree. the International Journal of Data Mining and Knowledge Discovery (DMKD), Vol. 10, pp. 5-38, Kluwer Academic Publishers, June
  • 5
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    • Mining Frequent Patterns in Data Streams at Multiple Time Granularities
    • H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha eds
    • Giannella, C. and Han, J. and Pei, J. and Yan, X. and Yu, P.S. 2003. Mining Frequent Patterns in Data Streams at Multiple Time Granularities, in H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.), Next Generation Data Mining, 2003.
    • (2003) Next Generation Data Mining, 2003
    • Giannella, C.1    Han, J.2    Pei, J.3    Yan, X.4    Yu, P.S.5
  • 6
    • 0038633423 scopus 로고    scopus 로고
    • Clustering data streams:Theory and Practice. TKDE special issue on clustering
    • Guna, S. and Meyerson, A., and Mishra, N. and Motwani, R. Clustering data streams:Theory and Practice. TKDE special issue on clustering, vol 15.
    • , vol.15
    • Guna, S.1    Meyerson, A.2    Mishra, N.3    Motwani, R.4
  • 7
    • 48649102014 scopus 로고    scopus 로고
    • Gunduz, S. and Ozsu, M.T. A web page prediction model based on click-stream tree representation of user behavior. SIGKDD, Page 535-540.
    • Gunduz, S. and Ozsu, M.T. A web page prediction model based on click-stream tree representation of user behavior. SIGKDD, Page 535-540.
  • 8
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: A frequent pattern tree approach
    • Han, J. and Pei, J. and Yin, Y. and Mao, R. 2004. Mining frequent patterns without candidate generation: a frequent pattern tree approach. Data Mining and Knowledge Discovery, 8, 1, Page 53-87.
    • (2004) Data Mining and Knowledge Discovery , vol.8 , Issue.1 , pp. 53-87
    • Han, J.1    Pei, J.2    Yin, Y.3    Mao, R.4
  • 9
    • 37449029679 scopus 로고    scopus 로고
    • Online classiocation of nonstationary data streams
    • Last, M. 2002. Online classiocation of nonstationary data streams. Intelligent Data Analysis, Vol. 6, No. 2, Page 129-147.
    • (2002) Intelligent Data Analysis , vol.6 , Issue.2 , pp. 129-147
    • Last, M.1
  • 13
    • 0002623130 scopus 로고    scopus 로고
    • Mining Sequential Patterns: Generalizations and performance improvements
    • IBM Almaden Research Center 650 Harry Road, San Jose, CA 95120
    • Srikanth, Ramakrishnan and Aggrawal, Rakesh. 1996. Mining Sequential Patterns: generalizations and performance improvements. Research Report, IBM Almaden Research Center 650 Harry Road, San Jose, CA 95120, Pages 1-15.
    • (1996) Research Report , pp. 1-15
    • Srikanth, R.1    Aggrawal, R.2
  • 14
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    • A regression-based temporal pattern mining scheme for data streams
    • Berlin, Germany
    • Teng, W. and Chen, M. and Yu, P. 2003. A regression-based temporal pattern mining scheme for data streams. In proceedings of the 29th VLDB conference, Berlin, Germany.
    • (2003) proceedings of the 29th VLDB conference
    • Teng, W.1    Chen, M.2    Yu, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.