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Volumn , Issue , 2008, Pages 25-32

Improving classification accuracy through feature selection

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; DATA MINING PROBLEMS; DATA MINING PROCESS; DATA SETS; EVALUATION FUNCTION; EXPERIMENTAL EVALUATION; FEATURE SELECTION; LARGE PARTS; LEARNING SCHEMES; THREE COMPONENT; TRAINING PROCESS; WRAPPER APPROACH;

EID: 67650249201     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCP.2008.4648350     Document Type: Conference Paper
Times cited : (20)

References (14)
  • 2
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (AutoClass): Theory and results
    • Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy, Eds
    • Cheeseman, P., Stutz, J., "Bayesian classification (AutoClass): Theory and results", Advances in Knowledge Discovery and Data Mining, Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy, Eds., 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Cheeseman, P.1    Stutz, J.2
  • 4
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., Schapire, R., "A decision-theoretic generalization of on-line learning and an application to boosting", In Journal of Computer and System Sciences, 55(1):119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 5
    • 0027002164 scopus 로고    scopus 로고
    • Kira, K., Rendell, L. A., The feature selection problem - Traditional methods and a new algorithm, In Proceedings of Ninth National Conference on AI, pp. 129-134, 1992.
    • Kira, K., Rendell, L. A., "The feature selection problem - Traditional methods and a new algorithm", In Proceedings of Ninth National Conference on AI, pp. 129-134, 1992.
  • 7
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R., John, J. H., "Wrappers for feature subset selection", Artificial Intelligence, Volume 7, Issue 1-2, 1997.
    • (1997) Artificial Intelligence , vol.7 , Issue.1-2
    • Kohavi, R.1    John, J.H.2
  • 8
    • 67650238434 scopus 로고    scopus 로고
    • Liu, H., Setiono, R., A probabilistic approach to feature selection-a filter solution, In Proceedings of International Conference on Machine Learning, pp. 319-327, 1996.
    • Liu, H., Setiono, R., "A probabilistic approach to feature selection-a filter solution", In Proceedings of International Conference on Machine Learning, pp. 319-327, 1996.
  • 9
    • 47749103737 scopus 로고    scopus 로고
    • Evidence Combination for Baseline Accuracy Determination
    • 6-8 September, Cluj-Napoca, Romania, pp
    • Moldovan, T., Vidrighin, C., Giurgiu, I., Potolea, R., "Evidence Combination for Baseline Accuracy Determination". Proceedings of the 3rd ICCP 2007, 6-8 September, Cluj-Napoca, Romania, pp. 41-48.
    • Proceedings of the 3rd ICCP 2007 , pp. 41-48
    • Moldovan, T.1    Vidrighin, C.2    Giurgiu, I.3    Potolea, R.4
  • 13
    • 67650220195 scopus 로고    scopus 로고
    • Towards a Combined Approach for Feature Selection
    • accepted at
    • Vidrighin C., Potolea R., "Towards a Combined Approach for Feature Selection", accepted at ICSOFT 2008.
    • (2008) ICSOFT
    • Vidrighin, C.1    Potolea, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.