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Volumn 1, Issue , 2002, Pages 243-246

An entropy-based discretization method for classification rules with inconsistency checking

Author keywords

Classification rules; Data mining; Discretization; Entropy; Inconsistency

Indexed keywords

ALGORITHMS; EQUIVALENCE CLASSES; PROBABILITY; SET THEORY;

EID: 0036930335     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (9)
  • 1
    • 0008458240 scopus 로고    scopus 로고
    • Analyzing discretizations of continuous attributes given a monotonic discrimination function
    • R Susmaga, Analyzing discretizations of continuous attributes given a monotonic discrimination function, Intelligent Data Analysis, vol. 1, pp157-179, 1997
    • (1997) Intelligent Data Analysis , vol.1 , pp. 157-179
    • Susmaga, R.1
  • 3
    • 0031224390 scopus 로고    scopus 로고
    • Use of contextual information for feature ranking and discretization
    • S. J. Hong. Use of contextual information for feature ranking and discretization, IEEE Transactions on knowledge and data engineering, vol. 9, pp718-730, 1997
    • (1997) IEEE Transactions on Knowledge and Data Engineering , vol.9 , pp. 718-730
    • Hong, S.J.1
  • 7
    • 0032595775 scopus 로고    scopus 로고
    • General and efficient multisplitting of numerical attributes
    • T. Elomaa and J. Rousu, General and efficient multisplitting of numerical attributes, Machine Learning, vol.36, pp201-244, 1999
    • (1999) Machine Learning , vol.36 , pp. 201-244
    • Elomaa, T.1    Rousu, J.2
  • 8
    • 0003408496 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • C. J. Merz, P. M. Murphy, UCI repository of machine learning databases, 1998, http://www.ics.uci.edu/mlearn/MLRepository.html.
    • (1998)
    • Merz, C.J.1    Murphy, P.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.