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Volumn , Issue , 2003, Pages 450-454

Discovering interesting information in XML data with association rules

Author keywords

Association Rules; Data Mining; XML

Indexed keywords

DATA MINING; DECISION THEORY; KNOWLEDGE ENGINEERING; SYNTACTICS;

EID: 0038675393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/952613.952621     Document Type: Conference Paper
Times cited : (31)

References (7)
  • 3
    • 0001371923 scopus 로고    scopus 로고
    • Fast discovery of association rules
    • Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy, editors. AAAI Press
    • Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, and A. Inkeri Verkamo. Fast discovery of association rules. In Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and Ramasamy Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining, pages 307 - 328. AAAI Press, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 307-328
    • Agrawal, R.1    Mannila, H.2    Srikant, R.3    Toivonen, H.4    Inkeri Verkamo, A.5
  • 7
    • 22044442392 scopus 로고    scopus 로고
    • An extension to SQL for mining association rules
    • Rosa Meo, Giuseppe Psaila, and Stefano Ceri. An extension to SQL for mining association rules. Data Mining and Knowledge Discovery, 2(2):195 - 224, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 195-224
    • Meo, R.1    Psaila, G.2    Ceri, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.