메뉴 건너뛰기




Volumn 22, Issue 2, 2004, Pages 155-174

Mining Informative Rule Set for Prediction

Author keywords

Association rule; Data mining; Prediction

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; FORECASTING; INFORMATION ANALYSIS; LOGIC PROGRAMMING; SET THEORY; THEOREM PROVING;

EID: 1442309101     PISSN: 09259902     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:JIIS.0000012468.25883.a5     Document Type: Article
Times cited : (10)

References (21)
  • 7
    • 0029224819 scopus 로고
    • Set-Oriented Mining for Association Rules in Relational Databases
    • Los Alamitos, CA, USA: IEEE Computer Society Press
    • Houtsma, M. and Swami, A. (1995). Set-Oriented Mining for Association Rules in Relational Databases. In Proceedings of the 11th International Conference on Data Engineering (pp. 25-34). Los Alamitos, CA, USA: IEEE Computer Society Press.
    • (1995) Proceedings of the 11th International Conference on Data Engineering , pp. 25-34
    • Houtsma, M.1    Swami, A.2
  • 12
    • 0032092760 scopus 로고    scopus 로고
    • New York: ACM Press
    • Ng, R., Lakshmanan, L., Han, J., and Pang, A. (1998). Exploratory Mining and Pruning Optimizations of Constrained Associations Rules, In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD-98) (pp. 13-24). ACM SIGMOD Record 27(2), New York: ACM Press.
    • ACM SIGMOD Record , vol.27 , Issue.2
  • 17
    • 0005810893 scopus 로고    scopus 로고
    • Dallas, Texas: ACM Press
    • Shenoy, P., Haritsa, J.R., Sudarshan, S., Bhalotia, G., Bawa, M., and Shah, D. (1999). Turbo-Charging Vertical Mining of Large Databases. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD-99) (pp. 22-33). ACM SIGMOD Record 29(2), Dallas, Texas: ACM Press.
    • ACM SIGMOD Record , vol.29 , Issue.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.