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Volumn 25, Issue 3, 2003, Pages 343-354

Discovering time-interval sequential patterns in sequence databases

Author keywords

Data mining; Sequence data; Sequential patterns; Time interval

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA MINING;

EID: 0141921659     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0957-4174(03)00075-7     Document Type: Article
Times cited : (137)

References (23)
  • 21
    • 0037213417 scopus 로고    scopus 로고
    • Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns
    • Stejic Z., Takama Y., 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    Takama, Y.2    Hirota, K.3
  • 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 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.