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Volumn 2798, Issue , 2003, Pages 76-87

Evaluation of common counting method for concurrent data mining queries

Author keywords

[No Author keywords available]

Indexed keywords

MINING MACHINERY;

EID: 35248885557     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39403-7_8     Document Type: Review
Times cited : (6)

References (14)
  • 5
    • 0003704318 scopus 로고    scopus 로고
    • Irvine, CA: University of California, Department of Information and Computer Science
    • Hettich S., Bay S. D.: The UCI KDD Archive [http://kdd.ics.uci.edu]. Irvine, CA: University of California, Department of Information and Computer Science (1999)
    • (1999) The UCI KDD Archive
    • Hettich, S.1    Bay, S.D.2
  • 7
    • 0003372359 scopus 로고    scopus 로고
    • Mining Frequent Patterns by Pattern-Growth: Methodology and Implications
    • December 2000
    • Han J., Pei J.: Mining Frequent Patterns by Pattern-Growth: Methodology and Implications. SIGKDD Explorations, December 2000 (2000)
    • (2000) SIGKDD Explorations
    • Han, J.1    Pei, J.2
  • 8
    • 0030284618 scopus 로고    scopus 로고
    • A Database Perspective on Knowledge Discovery
    • Imielinski T., Mannila H.: A Database Perspective on Knowledge Discovery. Communications of the ACM, Vol. 39, No. 11 (1996)
    • (1996) Communications of the ACM , vol.39 , Issue.11
    • Imielinski, T.1    Mannila, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.