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Volumn , Issue , 2004, Pages 374-383

On the discovery of significant statistical quantitative rules

Author keywords

Market share rules; Nonparametric methods; Resampling; Rule discovery; Statistical quantitative rules

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA REDUCTION; DECISION MAKING; ELECTRONIC COMMERCE; LEARNING SYSTEMS; ONLINE SEARCHING; SAMPLING; STATISTICAL METHODS;

EID: 12244294068     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1014052.1014094     Document Type: Conference Paper
Times cited : (56)

References (36)
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    • Multiple comparisons in induction algorithms
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    • Jensen, D.1    Cohen, P.R.2
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    • Knowledge-based learning in exploratory science: Learning rules to predict rodent carcinogenicity
    • Lee, Y., Buchanan, B. G., and Aronis, J. M., Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity, Machine Learning, vol. 30, pp. 217-240, 1998.
    • (1998) Machine Learning , vol.30 , pp. 217-240
    • Lee, Y.1    Buchanan, B.G.2    Aronis, J.M.3
  • 29
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    • Discovery, analysis, and presentation of strong rules
    • Piatesky-Shapiro, G. and Frawley, W. J., Eds. Menlo Park, CA: AAAI/MIT Press
    • Piatesky-Shapiro, G., Discovery, Analysis, and Presentation of Strong Rules, in Knowledge Discovery in Databases, Piatesky-Shapiro, G. and Frawley, W. J., Eds. Menlo Park, CA: AAAI/MIT Press, pp. 229-248, 1991.
    • (1991) Knowledge Discovery in Databases , pp. 229-248
    • Piatesky-Shapiro, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.