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Volumn 3721 LNAI, Issue , 2005, Pages 205-216

M2SP: Mining sequential patterns among several dimensions

Author keywords

Data Mining; Multidimensional Rules; Sequential Patterns

Indexed keywords

CORRELATION METHODS; DATABASE SYSTEMS; PATTERN RECOGNITION; SEQUENTIAL CIRCUITS;

EID: 33646432209     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564126_23     Document Type: Conference Paper
Times cited : (25)

References (11)
  • 5
    • 0022012278 scopus 로고
    • Discovering patterns in sequences of events
    • T.G. Dietterich and R.S. Michalski. Discovering patterns in sequences of events. Artificial Intelligence, 25(2):187-232, 1985.
    • (1985) Artificial Intelligence , vol.25 , Issue.2 , pp. 187-232
    • Dietterich, T.G.1    Michalski, R.S.2
  • 7
    • 84947770983 scopus 로고    scopus 로고
    • The PSP approach for mining sequential patterns
    • Proc. of PKDD
    • F. Masseglia, F. Cathala, and P. Poncelet. The PSP Approach for Mining Sequential Patterns. In Proc. of PKDD, volume 1510 of LNCS, pages 176-184, 1998.
    • (1998) LNCS , vol.1510 , pp. 176-184
    • Masseglia, F.1    Cathala, F.2    Poncelet, P.3
  • 9
    • 84897708583 scopus 로고    scopus 로고
    • Mining sequential patterns: Generalizations and performance improvements
    • R. Srikant and R. Agrawal. Mining Sequential Patterns: Generalizations and Performance Improvements. In Proc. of EDBT, pages 3-17, 1996.
    • (1996) Proc. of EDBT , pp. 3-17
    • Srikant, R.1    Agrawal, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.