메뉴 건너뛰기




Volumn 86, Issue 3, 2013, Pages 615-623

A sliding window based algorithm for frequent closed itemset mining over data streams

Author keywords

Closed frequent itemsets; Concept change; Data mining; Data stream; Sliding window

Indexed keywords

CLOSED FREQUENT ITEMSETS; CLOSED PATTERN; COMPACT SETS; CONCEPT CHANGE; DATA MINING AND KNOWLEDGE DISCOVERY; DATA STREAM; EFFICIENT DATA STRUCTURES; FREQUENT CLOSED ITEMSET MINING; FREQUENT CLOSED ITEMSETS; FREQUENT ITEMSET; FREQUENT ITEMSET MINING; FREQUENT PATTERN MINING; PROCESSING POWER; RUNTIME AND MEMORY USAGE; SLIDING WINDOW; SLIDING WINDOW-BASED; SYNTHETIC DATA;

EID: 84872683902     PISSN: 01641212     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jss.2012.10.011     Document Type: Article
Times cited : (53)

References (26)
  • 2
    • 30344444271 scopus 로고    scopus 로고
    • EstWin: Online data stream mining of recent frequent itemsets by sliding window method
    • DOI 10.1177/0165551505050785
    • J.H. Chang, and W.S. Lee estWin: online data stream mining of recent frequent itemsets by sliding window method Journal of Information Science 31 2 2005 76 90 (Pubitemid 43066256)
    • (2005) Journal of Information Science , vol.31 , Issue.2 , pp. 76-90
    • Chang, J.H.1    Lee, W.S.2
  • 3
    • 33748676847 scopus 로고    scopus 로고
    • ,
    • DOI 10.1016/j.is.2005.04.001, PII S0306437905000384
    • J. Chang, and W. Lee Finding recently frequent itemsets adaptively over online transactional data streams Information Systems 31 8 2006 849 869 (Pubitemid 44397268)
    • (2006) Information Systems , vol.31 , Issue.8 , pp. 849-869
    • Chang, J.H.1    Lee, W.S.2
  • 4
    • 33749322733 scopus 로고    scopus 로고
    • Catch the moment: Maintaining closed frequent itemsets over a data stream sliding window
    • DOI 10.1007/s10115-006-0003-0
    • Y. Chi, H. Wang, P.S. Yu, and R.R. Muntz Catch the moment: maintaining closed frequent itemsets over a data stream sliding window Knowledge and Information Systems 10 3 2006 265 294 (Pubitemid 44489997)
    • (2006) Knowledge and Information Systems , vol.10 , Issue.3 , pp. 265-294
    • Chi, Y.1    Wang, H.2    Yu, P.S.3    Muntz, R.R.4
  • 5
    • 79960797229 scopus 로고    scopus 로고
    • EclatDS: An efficient sliding window based frequent pattern mining method for data streams
    • M. Deypir, and M.H. Sadreddini EclatDS: an efficient sliding window based frequent pattern mining method for data streams Intelligent Data Analysis 15 4 2011 571 587
    • (2011) Intelligent Data Analysis , vol.15 , Issue.4 , pp. 571-587
    • Deypir, M.1    Sadreddini, M.H.2
  • 7
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: A frequent-pattern tree approach
    • DOI 10.1023/B:DAMI.0000005258.31418.83
    • J. Han, J. Pei, Y. Yin, and R. Mao Mining frequent patterns without candidate generation: a frequent-pattern tree approach Data Mining and Knowledge Discovery 8 2004 53 87 (Pubitemid 39019971)
    • (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
    • 70349317040 scopus 로고    scopus 로고
    • Concept shift detection for frequent itemsets from sliding window over data streams. Lecture notes in computer science: Database systems for advanced applications
    • Springer-Verlag
    • J.L. Koh, and C.Y. Lin Concept shift detection for frequent itemsets from sliding window over data streams. Lecture notes in computer science: database systems for advanced applications DASFAA 2009 International Workshops 2009 Springer-Verlag 334 348
    • (2009) DASFAA 2009 International Workshops , pp. 334-348
    • Koh, J.L.1    Lin, C.Y.2
  • 11
    • 62849127337 scopus 로고    scopus 로고
    • Mining non-derivable frequent itemsets over data stream
    • H. Li, and H. Chen Mining non-derivable frequent itemsets over data stream Data and Knowledge Engineering 68 2009 481 498
    • (2009) Data and Knowledge Engineering , vol.68 , pp. 481-498
    • Li, H.1    Chen, H.2
  • 12
    • 56349132360 scopus 로고    scopus 로고
    • Mining frequent itemsets over data streams using efficient window sliding techniques
    • H.F. Li, and S.Y. Lee Mining frequent itemsets over data streams using efficient window sliding techniques Expert Systems with Applications 36 2009 1466 1477
    • (2009) Expert Systems with Applications , vol.36 , pp. 1466-1477
    • Li, H.F.1    Lee, S.Y.2
  • 14
    • 56349168041 scopus 로고    scopus 로고
    • Incremental updates of closed frequent itemsets over continuous data streams
    • H.F. Li, C.C. Ho, and S.Y. Lee Incremental updates of closed frequent itemsets over continuous data streams Expert Systems with Applications 36 2 2009 2451 2458
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 2451-2458
    • Li, H.F.1    Ho, C.C.2    Lee, S.Y.3
  • 16
    • 60349131187 scopus 로고    scopus 로고
    • Mining frequent closed itemsets from a landmark window over online data streams
    • X. Liu, J. Guan, and P. Hu Mining frequent closed itemsets from a landmark window over online data streams Computers and Mathematics with Applications 57 6 2009 927 936
    • (2009) Computers and Mathematics with Applications , vol.57 , Issue.6 , pp. 927-936
    • Liu, X.1    Guan, J.2    Hu, P.3
  • 19
    • 69549097483 scopus 로고    scopus 로고
    • Sliding window-based frequent pattern mining over data streams
    • S.K. Tanbeer, C.F. Ahmed, B.S. Jeong, and Y.K. Lee Sliding window-based frequent pattern mining over data streams Information Sciences 179 2009 3843 3865
    • (2009) Information Sciences , vol.179 , pp. 3843-3865
    • Tanbeer, S.K.1    Ahmed, C.F.2    Jeong, B.S.3    Lee, Y.K.4
  • 22
    • 70349312375 scopus 로고    scopus 로고
    • EstMax: Tracing maximal frequent itemsets instantly over online transactional data streams
    • H.J. Woo, and W.S. Lee estMax: tracing maximal frequent itemsets instantly over online transactional data streams IEEE Transactions on Knowledge and Data Engineering 21 10 2009 1418 1431
    • (2009) IEEE Transactions on Knowledge and Data Engineering , vol.21 , Issue.10 , pp. 1418-1431
    • Woo, H.J.1    Lee, W.S.2
  • 24
    • 33646140552 scopus 로고    scopus 로고
    • A false negative approach to mining frequent itemsets from high speed transactional data streams
    • J.X. Yu, Z. Chong, H. Lu, Z. Zhang, and A. Zhou A false negative approach to mining frequent itemsets from high speed transactional data streams Information Sciences 176 2006 1986 2015
    • (2006) Information Sciences , vol.176 , pp. 1986-2015
    • Yu, J.X.1    Chong, Z.2    Lu, H.3    Zhang, Z.4    Zhou, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.