메뉴 건너뛰기




Volumn 12, Issue 5-6, 1999, Pages 309-315

On rule interestingness measures

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; KNOWLEDGE REPRESENTATION; STATISTICAL METHODS;

EID: 0033207925     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0950-7051(99)00019-2     Document Type: Article
Times cited : (178)

References (23)
  • 1
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, & R. Uthurusamy. Cambridge, MA: AAAI/MIT Press
    • Fayyad U.M., Piatetsky-Shapiro G. From data mining to knowledge discovery: an overview. Fayyad U.M., Piatetsky-Shapiro G., Smyth P., Uthurusamy R. Advances in Knowledge Discovery and Data Mining. 1996;1 AAAI/MIT Press, Cambridge, MA.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 1
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2
  • 3
    • 0002877253 scopus 로고
    • Discovery, analysis and presentation of strong rules
    • G. Piatetsky-Shapiro, & W.J. Frawley. AAAI
    • Piatetsky-Shapiro G. Discovery, analysis and presentation of strong rules. Piatetsky-Shapiro G., Frawley W.J. Knowledge Discovery in Databases. 1991;229 AAAI.
    • (1991) Knowledge Discovery in Databases , pp. 229
    • Piatetsky-Shapiro, G.1
  • 9
    • 0025803268 scopus 로고
    • Information-based evaluation criterion for classifier's performance
    • Information-based evaluation criterion for classifier's performance, Machine Learning 6 (1991) 67-80.
    • (1991) Machine Learning , vol.6 , pp. 67-80
  • 10
    • 0025888803 scopus 로고
    • Improved estimates for the accuracy of small disjuncts
    • Quinlan J.R. Improved estimates for the accuracy of small disjuncts. Machine Learning. 6:(1):1900;93-98.
    • (1900) Machine Learning , vol.6 , Issue.1 , pp. 93-98
    • Quinlan, J.R.1
  • 12
    • 0026154832 scopus 로고
    • The use of background knowledge in decision tree induction
    • Nunez M. The use of background knowledge in decision tree induction. Machine Learning. 6:1900;231-250.
    • (1900) Machine Learning , vol.6 , pp. 231-250
    • Nunez, M.1
  • 13
    • 0027682298 scopus 로고
    • Cost-sensitive learning of classification knowledge and its application in robotics
    • Tan M. Cost-sensitive learning of classification knowledge and its application in robotics. Machine Learning. 13:1993;7-33.
    • (1993) Machine Learning , vol.13 , pp. 7-33
    • Tan, M.1
  • 14
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • Turney P.D. Cost-sensitive classification: empirical evaluation of a hybrid genetic decision tree induction algorithm. Journal of Artificial Intelligent Research. 2:1995;369-409.
    • (1995) Journal of Artificial Intelligent Research , vol.2 , pp. 369-409
    • Turney, P.D.1
  • 21
    • 85115704629 scopus 로고
    • For every generalization action, is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance
    • R.B. Rao, D. Gordon, W. Spears, For every generalization action, is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance, Proceedings 12th International Conference on Machine Learning, 1995, pp. 471-479.
    • (1995) Proceedings 12th International Conference on Machine Learning , pp. 471-479
    • Rao, R.B.1    Gordon, D.2    Spears, W.3
  • 22
    • 0342740324 scopus 로고
    • Choosing among competing generalizations
    • Gebhardt F. Choosing among competing generalizations. Knowledge Acquisition. 3:1991;361-380.
    • (1991) Knowledge Acquisition , vol.3 , pp. 361-380
    • Gebhardt, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.