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Volumn , Issue , 2009, Pages 1515-1520

NANO: A new supervised algorithm for feature selection with discretization

Author keywords

Discretization; Feature selection; Pattern classification

Indexed keywords

DATA DISCRETIZATION; DATA MINING ALGORITHM; DISCRETIZATION; EMPIRICAL RESULTS; FEATURE SELECTION; LEARNING PHASE; PATTERN CLASSIFICATION; SUPERVISED ALGORITHM;

EID: 66249126505     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IADCC.2009.4809243     Document Type: Conference Paper
Times cited : (6)

References (20)
  • 2
    • 37749034335 scopus 로고
    • On changing continuous attributes into ordered discrete attributes
    • J. Catlett, On Changing Continuous Attributes into Ordered Discrete Attributes," Proceedings of the European Working Session on Learning, Vol.482, pp. 164 - 178 1991.
    • (1991) Proceedings of the European Working Session on Learning , vol.482 , pp. 164-178
    • Catlett, J.1
  • 9
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • Dash, M., Liu, H., Feature Selection for Classification", Intelligent Data Analysis, pp. 131-156, 1997.
    • (1997) Intelligent Data Analysis , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 10
    • 0002715112 scopus 로고    scopus 로고
    • A probabilistic approach to feature selection: A filter solution
    • H. Liu and R. Setiono, A Probabilistic Approach to Feature Selection: A Filter Solution," Proc. 13th Int'l Conf. Machine Learning, pp. 319-327, 1996.
    • (1996) Proc. 13th Int'l Conf. Machine Learning , pp. 319-327
    • Liu, H.1    Setiono, R.2
  • 15
  • 18
    • 84948597805 scopus 로고
    • A comparison of seven techniques for choosing subsets of pattern recognition properties
    • Mucciardi, A.N., and Gose, E.E, A comparison of seven techniques for choosing subsets of pattern recognition properties," IEEE Transactions on Computers, Vol.20, No.9, pp.1023-1031, 1971.
    • (1971) IEEE Transactions on Computers , vol.20 , Issue.9 , pp. 1023-1031
    • Mucciardi, A.N.1    Gose, E.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.