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Volumn 31, Issue 8, 2006, Pages 849-869

Finding recently frequent itemsets adaptively over online transactional data streams,

Author keywords

Data streams; Decay rate; Delayed insertion; Information decay; Itemset pruning; Lexicographic tree; Recently frequent itemsets

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DATA MINING; EMBEDDED SYSTEMS; GRAPH THEORY; OPTIMIZATION;

EID: 33748676847     PISSN: 03064379     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.is.2005.04.001     Document Type: Article
Times cited : (38)

References (26)
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  • 12
    • 33748676768 scopus 로고    scopus 로고
    • G. Dong, J. Han, L.V.S. Lakshmanan, J. Pei, H. Wang, P.S. Yu, Online mining of changes from data streams: research problems and preliminary results, Proceedings of the Workshop on Management and Processing of Data Streams, 2003.
  • 13
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    • Sliding-window filtering: an efficient method for incremental mining on a time variant database
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    • A. Veloso, W. Meira Jr., M. de Carvalho, B. Possas, S. Parthasarathy, M.J. Zaki, Mining frequent itemsets in evolving databases, Proceedings of the Second SIAM International Conference on Data Mining, 2002.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.