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Volumn 1574, Issue , 1999, Pages 138-142

A technique of dynamic feature selection using the feature group mutual information

Author keywords

Data mining; Feature selection; Machine learning; Mutual information

Indexed keywords

FEATURE EXTRACTION; LEARNING SYSTEMS; TREES (MATHEMATICS);

EID: 84942766197     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48912-6_19     Document Type: Conference Paper
Times cited : (6)

References (9)
  • 1
    • 0001857179 scopus 로고
    • Learning efficient classification procesudres
    • (edited by R.S. Michalski and et al.), Tioga Press
    • J.R. Quinlan, "Learning efficient classification procesudres," Machine Learning: An AI Approach (edited by R.S. Michalski and et al.), Tioga Press, 1983.
    • (1983) Machine Learning: An AI Approach
    • Quinlan, J.R.1
  • 5
    • 0031219871 scopus 로고    scopus 로고
    • R-MINI: An Iterative Approach for Generating Minimal Rules from Examples
    • S.J. Hong, "R-MINI: An Iterative Approach for Generating Minimal Rules from Examples," IEEE Trans. Knowledge and Engineering, 9(5), pp. 709-717, 1997.
    • (1997) IEEE Trans. Knowledge and Engineering , vol.9 , Issue.5 , pp. 709-717
    • Hong, S.J.1
  • 6
    • 84947738427 scopus 로고    scopus 로고
    • A Rule Generation Technique Utilizing a Parallel Expansion Method
    • K.C. Lee and J.B. Kim, "A Rule Generation Technique Utilizing a Parallel Expansion Method," Korea Information Proc. Society, 5(4), pp. 942-950, 1998.
    • (1998) Korea Information Proc. Society , vol.5 , Issue.4 , pp. 942-950
    • Lee, K.C.1    Kim, J.B.2
  • 8
    • 0028468293 scopus 로고
    • Using Mutual Information for Selecting Features in Supervised Neural Net Learning
    • July
    • R. Battiti "Using Mutual Information for Selecting Features in Supervised Neural Net Learning," IEEE Trans. on Neural Networks, 5(4), pp 537-550, July 1994.
    • (1994) IEEE Trans. on Neural Networks , vol.5 , Issue.4 , pp. 537-550
    • Battiti, R.1
  • 9
    • 84947805058 scopus 로고    scopus 로고
    • UCI ML Repository Content Summary
    • UCI ML Repository Content Summary, http://www.ics.uci.edu/~mlearn/MLSummary.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.