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Volumn 10, Issue 12, 2011, Pages 2434-2439

Mining web frequent multi-dimensional sequential patterns

Author keywords

Memory Indexing; Multi dimensional sequential pattern; PrefixMDSpan; Projected database

Indexed keywords

END USERS; MEMORY INDEXING; MULTIPLE SCANNING; PATTERN MINING; PREFIXMDSPAN; PROJECTED DATABASE; SEQUENCE DATA; SEQUENTIAL PATTERNS; SEQUENTIAL-PATTERN MINING;

EID: 80053952690     PISSN: 18125638     EISSN: 18125646     Source Type: Journal    
DOI: 10.3923/itj.2011.2434.2439     Document Type: Article
Times cited : (3)

References (10)
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    • Fast discovery of sequential patterns in large databases using effective time-indexing
    • Lin, M. Y., S. C. Hsueh and C. W. Chang, 2008a. Fast discovery of sequential patterns in large databases using effective time-indexing. Inform. Sci., 178:4228-4245.
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    • Lin, M.Y.1    Hsueh, S.C.2    Chang, C.W.3
  • 5
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    • Lin, M. Y., S. C. Hsueh and C. W. Chang, 2008b. Mining closed sequential patterns with time constraints. J. Inform. Sci. Eng., 24:33-46.
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  • 10
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    • Mining sequential patterns from multidimensional sequence data
    • Yu, C. C. and Y. L. Chen, 2005. Mining sequential patterns from multidimensional sequence data. IEEE Trans. Knowledge Data Eng., 17:136-140.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.