메뉴 건너뛰기




Volumn 28, Issue 5, 2014, Pages

An information-theoretic filter method for feature weighting in naive bayes

Author keywords

classification; Data mining; feature weighting; naive Bayes

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING;

EID: 84905459963     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001414510070     Document Type: Article
Times cited : (2)

References (20)
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, Random forests, Mach. Learn. 45 (2001) 5-32.
    • (2001) Mach. Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 3
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple bayesian classifier under zero-one loss
    • P. Domingos and M. Pazzani, On the optimality of the simple bayesian classifier under zero-one loss, Mach. Learn. 29 (1997) 103-130.
    • (1997) Mach. Learn , vol.29 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 4
    • 0002593344 scopus 로고
    • Multi-interval discretization of continuous-valued attributes for classification learning
    • U. M. Fayyad and K. B. Irani, Multi-interval discretization of continuous-valued attributes for classification learning, Int. Joint Conf. Artificial Intelligence (1993), pp. 1022-1029.
    • (1993) Int. Joint Conf. Artificial Intelligence , pp. 1022-1029
    • Fayyad, U.M.1    Irani, K.B.2
  • 8
    • 33847166276 scopus 로고    scopus 로고
    • A decision tree-based attribute weighting filter for naive bayes
    • M. Hall, A decision tree-based attribute weighting filter for naive bayes, Knowl.-Based Syst. 20 (2007) 120-126.
    • (2007) Knowl.-Based Syst , vol.20 , pp. 120-126
    • Hall, M.1
  • 11
    • 85156137079 scopus 로고    scopus 로고
    • Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid
    • R. Kohavi, Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid, Second Int. Conf. Knoledge Discovery and Data Mining (1996), pp. 202-207.
    • (1996) Second Int. Conf. Knoledge Discovery and Data Mining , pp. 202-207
    • Kohavi, R.1
  • 12
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi and G. H. John, Wrappers for feature subset selection, Artif. Intell. 97 (1997) 273-324.
    • (1997) Artif. Intell , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 13
    • 33646417615 scopus 로고    scopus 로고
    • Improved naive Bayes for extremely skewed misclassification costs
    • A. Kolcz and A. Chowdhury, Improved naive Bayes for extremely skewed misclassification costs, PKDD (2005), pp. 561-568.
    • (2005) PKDD , pp. 561-568
    • Kolcz, A.1    Chowdhury, A.2
  • 14
    • 0001927585 scopus 로고
    • On information and sufficiency
    • S. Kullback and R. A. Leibler, On information and sufficiency, Ann. Math. Stat. 22 (1951) 79-86.
    • (1951) Ann. Math. Stat , vol.22 , pp. 79-86
    • Kullback, S.1    Leibler, R.A.2
  • 16
    • 84863137187 scopus 로고    scopus 로고
    • Calculating feature weights in naive Bayes with kullback-leibler measure
    • C.-H. Lee, F. Gutierrez and D. Dou, Calculating feature weights in naive Bayes with kullback-leibler measure, 11th IEEE Int. Conf. Data Mining (2011), pp. 1146-1151.
    • (2011) 11th IEEE Int. Conf. Data Mining , pp. 1146-1151
    • Lee, C.-H.1    Gutierrez, F.2    Dou, D.3
  • 18
    • 0033243051 scopus 로고    scopus 로고
    • Effectiveness of different missing data treatments in surveys with likert-type data: Introducing the relative mean substitution approach
    • A. Quinten and W. Raaijmakers, Effectiveness of different missing data treatments in surveys with likert-type data: Introducing the relative mean substitution approach, Edu. Psychol. Meas. 49 (1999) 725-748.
    • (1999) Edu. Psychol. Meas , vol.49 , pp. 725-748
    • Quinten, A.1    Raaijmakers, W.2
  • 19
    • 0031073477 scopus 로고    scopus 로고
    • A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms
    • D. Wettschereck, D. W. Aha and T. Mohri, A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms, Artificial Intell. Rev. 11 (1997) 273-314.
    • (1997) Artificial Intell. Rev , vol.11 , pp. 273-314
    • Wettschereck, D.1    Aha, D.W.2    Mohri, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.