메뉴 건너뛰기




Volumn 14, Issue 3, 2010, Pages 297-302

Data cleaning for classification using misclassification analysis

Author keywords

Artificial neural network; Classifier; Data cleaning; Data pre processing

Indexed keywords


EID: 77951230501     PISSN: 13430130     EISSN: 18838014     Source Type: Journal    
DOI: 10.20965/jaciii.2010.p0297     Document Type: Article
Times cited : (72)

References (14)
  • 1
    • 19544372918 scopus 로고    scopus 로고
    • Class noise vs. attribute noise: A quantitative study
    • X. Zhu and X.Wu, "Class Noise vs. Attribute Noise: A Quantitative Study," Artificial Intelligence Review, Vol.22, pp. 177-210, 2004.
    • (2004) Artificial Intelligence Review , vol.22 , pp. 177-210
    • Zhu, X.1    Wu, X.2
  • 4
    • 33746071857 scopus 로고    scopus 로고
    • Ensemble methods for noise elimination in classification problems
    • S. Verbaeten and A. Van Assche, "Ensemble methods for noise elimination in classification problems," in Multiple Classifier Systems, pp. 317-325, 2003.
    • (2003) Multiple Classifier Systems , pp. 317-325
    • Verbaeten, S.1    Van Assche, A.2
  • 9
  • 10
    • 36948999941 scopus 로고    scopus 로고
    • University of California, Irvine, School of Information and Computer Sciences
    • A. Asuncion and D. J. Newman, "UCI Machine Learning Repository," University of California, Irvine, School of Information and Computer Sciences, 2007.
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2
  • 11
    • 44949084506 scopus 로고    scopus 로고
    • Classification of weld flaws with imbalanced class data
    • T. W. Liao, "Classification of Weld Flaws with Imbalanced Class Data," Expert Systems with Applications, Vol.35, pp. 1041-1052, 2008.
    • (2008) Expert Systems with Applications , vol.35 , pp. 1041-1052
    • Liao, T.W.1
  • 12
    • 27144531570 scopus 로고    scopus 로고
    • A Study of the behavior of several methods for balancing machine learning training data
    • G. E. A. P. A. Batista, R. C. Prati, and M. C. Monard, "A Study of the Behavior of Several Methods for Balancing Machine Learning Training Data," SIGKDD Explor. Newsl., Vol.6, pp. 20-29, 2004.
    • (2004) SIGKDD Explor. Newsl. , vol.6 , pp. 20-29
    • Batista, G.E.A.P.A.1    Prati, R.C.2    Monard, M.C.3
  • 13
    • 77951220817 scopus 로고    scopus 로고
    • Binary classification using ensemble neural networks and interval neutrosophic sets
    • P. Kraipeerapun and C. C. Fung, "Binary Classification Using Ensemble Neural Networks and Interval Neutrosophic Sets," Neurocomput., Vol.72, pp. 2845-2856, 2009.
    • (2009) Neurocomput. , vol.72 , pp. 2845-2856
    • Kraipeerapun, P.1    Fung, C.C.2
  • 14
    • 56749130466 scopus 로고    scopus 로고
    • Comparing performance of interval neutrosophic sets and neural networks with support vector machines for binary classification problems
    • P. Kraipeerapun and C. C. Fung, "Comparing Performance of Interval Neutrosophic Sets and Neural Networks with Support Vector Machines for Binary Classification Problems," in Digital Ecosystems and Technologies, 2008 (DEST 2008), 2nd IEEE Int. Conf. on, pp. 34-37, 2008.
    • (2008) Digital Ecosystems and Technologies 2008 (DEST 2008), 2nd IEEE Int. Conf. on , pp. 34-37
    • Kraipeerapun, P.1    Fung, C.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.