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Volumn 2913, Issue , 2003, Pages 184-193

Parallel and distributed frequent itemset mining on dynamic datasets

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EID: 35248901442     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24596-4_20     Document Type: Article
Times cited : (9)

References (17)
  • 5
    • 0030379749 scopus 로고    scopus 로고
    • Efficient mining of association rules in distributed databases
    • D. Cheung, V. Ng, A. Fu, , and Y. Fu. Efficient mining of association rules in distributed databases. In IEEE Trans. on Knowledge and Data Engg., volume 8, pages 911-922, 1996.
    • (1996) IEEE Trans. on Knowledge and Data Engg. , vol.8 , pp. 911-922
    • Cheung, D.1    Ng, V.2    Fu, A.3    Fu, Y.4
  • 10
    • 24344497209 scopus 로고    scopus 로고
    • Distributed data mining: Algorithms, systems, and applications
    • Nong Ye, editor
    • Byung-Hoon Park and Hillol Kargupta. Distributed data mining: Algorithms, systems, and applications. In Nong Ye, editor, Data Mining Handbook, 2002.
    • (2002) Data Mining Handbook
    • Park, B.-H.1    Kargupta, H.2
  • 17
    • 0033354342 scopus 로고    scopus 로고
    • Parallel and distributed association mining: A survey
    • December
    • M. J. Zaki. Parallel and distributed association mining: A survey. IEEE Concurrency, 7(4):14-25, December 1999.
    • (1999) IEEE Concurrency , vol.7 , Issue.4 , pp. 14-25
    • Zaki, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.