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Volumn 1, Issue 2, 2009, Pages 132-150

nVApriori: A novel approach to avoid irrelevant rules in association rule mining using n-cross validation technique

Author keywords

Association rule; Data mining; Frequent itemset mining; nVApriori

Indexed keywords


EID: 79960077230     PISSN: 20748523     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (25)
  • 24
    • 28544452631 scopus 로고    scopus 로고
    • A survey of interestingness measures for knowledge discovery
    • Ken Mcgarry. (2005), A survey of interestingness measures for knowledge discovery, The knowledge engineering review, Vol. 00:0, pp: 1-24.
    • (2005) The knowledge engineering review , pp. 1-24
    • Mcgarry, K.1
  • 25
    • 0033345672 scopus 로고    scopus 로고
    • Unexpectedness as a measure of interestingness in knowledge discovery
    • Balaji Padmanabhan and Alexander Tuzhilin (1999), Unexpectedness as a measure of interestingness in knowledge discovery, Special issue on WIT'97, Vol.27, Issue.3, pp.303-318.
    • (1999) Special issue on WIT'97 , vol.27 , Issue.3 , pp. 303-318
    • Padmanabhan, B.1    Tuzhilin, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.