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Volumn 2006, Issue , 2006, Pages 1195-1198

Database encoding and an anti-Apriori algorithm for association rules mining

Author keywords

Anti Apriori algorithm; Association rules; Data mining; Database encoding

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; COMPUTATIONAL COMPLEXITY; DATA MINING; ENCODING (SYMBOLS); NUMERICAL METHODS;

EID: 33947268792     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2006.258604     Document Type: Conference Paper
Times cited : (8)

References (5)
  • 1
    • 0027621699 scopus 로고    scopus 로고
    • Mining Association Rules between Sets of Items in Very Large Databases
    • Rome, pp, January
    • R. agrawal, T. Imielinski, A. Swami, Mining Association Rules between Sets of Items in Very Large Databases, ACM SIGMOD Conference Proceedings, Rome, pp. 207-216, January 2003.
    • (2003) ACM SIGMOD Conference Proceedings , pp. 207-216
    • agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 4
    • 0033718951 scopus 로고    scopus 로고
    • Scalable algorithms for association mining
    • May/June
    • M.J. Zaki, Scalable algorithms for association mining, IEEE transactions of knowledge and data engineering, Vol 12, NO.3, pp. 372-390, May/June 2000
    • (2000) IEEE transactions of knowledge and data engineering , vol.12 , Issue.3 , pp. 372-390
    • Zaki, M.J.1
  • 5
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Irvine, Dept. of Information and Computer Sciences
    • C.L. Blake and C.J. Merz, UCI Repository of machine learning databases, University of California, Irvine, Dept. of Information and Computer Sciences, http://www.ics.uci.edu/~mlearn/ MLRepository.html, 1998.
    • (1998) UCI Repository of machine learning databases
    • Blake, C.L.1    Merz, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.