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Volumn 41, Issue 5, 2014, Pages 2514-2525

Analysis and extension of decision trees based on imprecise probabilities: Application on noisy data

Author keywords

Credal Decision Trees; Imprecise Dirichlet model; Imprecise probabilities; Noisy data; Uncertainty measures

Indexed keywords

CLASS NOISE; GENERAL NOISE; IMPRECISE DIRICHLET MODEL; IMPRECISE PROBABILITIES; INPUT VARIABLES; NOISY DATA; SHANNON'S ENTROPY; UNCERTAINTY MEASURES;

EID: 84890116791     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.09.050     Document Type: Article
Times cited : (43)

References (33)
  • 1
    • 33750896257 scopus 로고    scopus 로고
    • Uncertainty measures on probability intervals from the imprecise Dirichlet model
    • DOI 10.1080/03081070600687643, PII Q627X67538T10666
    • J. Abellán Uncertainty measures on probability intervals from Imprecise Dirichlet model International Journal of General Systems 35 5 2006 509 528 (Pubitemid 44728624)
    • (2006) International Journal of General Systems , vol.35 , Issue.5 , pp. 509-528
    • Abellan, J.1
  • 2
    • 33750897026 scopus 로고    scopus 로고
    • Application of uncertainty measures on credal sets on the naive Bayesian classifier
    • DOI 10.1080/03081070600867039, PII X2T919537T250P1J
    • J. Abellán Application of uncertainty measures on credal sets on the naive bayes classifier International Journal of General System 35 2006 675 686 (Pubitemid 44728620)
    • (2006) International Journal of General Systems , vol.35 , Issue.6 , pp. 675-686
    • Abellan, J.1
  • 3
    • 33750906666 scopus 로고    scopus 로고
    • Disaggregated total uncertainty measure for credal sets
    • DOI 10.1080/03081070500473490, PII MT1Q2676503L2K11
    • J. Abellán, G.J. Klir, and S. Moral Disaggregated total uncertainty measure for credal sets International Journal of General Systems 35 1 2006 29 44 (Pubitemid 46508739)
    • (2006) International Journal of General Systems , vol.35 , Issue.1 , pp. 29-44
    • Abellan, J.1    Klir, G.J.2    Moral, S.3
  • 4
    • 55349102665 scopus 로고    scopus 로고
    • Requirements for total uncertainty measures in Dempster-Shafer theory of evidence
    • J. Abellán, and A. Masegosa Requirements for total uncertainty measures in Dempster-Shafer theory of evidence International Journal of General Systems 37 6 2008 733 747
    • (2008) International Journal of General Systems , vol.37 , Issue.6 , pp. 733-747
    • Abellán, J.1    Masegosa, A.2
  • 5
    • 71749110968 scopus 로고    scopus 로고
    • A filter-wrapper method to select variables for the Naive Bayes classifier based on credal decision trees
    • J. Abellán, and A. Masegosa A filter-wrapper method to select variables for the Naive Bayes classifier based on credal decision trees Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems 17 6 2009 833 854
    • (2009) Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems , vol.17 , Issue.6 , pp. 833-854
    • Abellán, J.1    Masegosa, A.2
  • 6
    • 69049106630 scopus 로고    scopus 로고
    • An experimental study about simple decision trees for Bagging ensemble on data sets with classification noise
    • C. Sossai, G. Chemello, LNCS Springer
    • J. Abellán, and A.R. Masegosa An experimental study about simple decision trees for Bagging ensemble on data sets with classification noise C. Sossai, G. Chemello, ECSQARU LNCS vol. 5590 2009 Springer 446 456
    • (2009) ECSQARU , vol.5590 VOL. , pp. 446-456
    • Abellán, J.1    Masegosa, A.R.2
  • 8
    • 84857650916 scopus 로고    scopus 로고
    • Bagging schemes on the presence of noise in classification
    • J. Abellán, and A. Masegosa Bagging schemes on the presence of noise in classification Expert Systems with Applications 39 8 2012 6827 6837
    • (2012) Expert Systems with Applications , vol.39 , Issue.8 , pp. 6827-6837
    • Abellán, J.1    Masegosa, A.2
  • 10
    • 0344012554 scopus 로고    scopus 로고
    • Building classification trees using the total uncertainty criterion
    • J. Abellán, and S. Moral Building classification trees using the total uncertainty criterion International Journal of Intelligent Systems 18 12 2003 1215 1225
    • (2003) International Journal of Intelligent Systems , vol.18 , Issue.12 , pp. 1215-1225
    • Abellán, J.1    Moral, S.2
  • 14
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demsar Statistical comparison of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30 (Pubitemid 43022939)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 16
    • 84944811700 scopus 로고
    • The use of rank to avoid the assumption of normality implicit in the analysis of variance
    • M. Friedman The use of rank to avoid the assumption of normality implicit in the analysis of variance Journal of the American Statistical Association 32 1937 675 701
    • (1937) Journal of the American Statistical Association , vol.32 , pp. 675-701
    • Friedman, M.1
  • 17
    • 0001837148 scopus 로고
    • A comparison of alternative tests of significance for the problem of m rankings
    • M. Friedman A comparison of alternative tests of significance for the problem of m rankings Annals of Mathematical Statistics 11 1940 86 92
    • (1940) Annals of Mathematical Statistics , vol.11 , pp. 86-92
    • Friedman, M.1
  • 18
    • 0002294347 scopus 로고
    • A simple sequentially rejective Bonferroni test procedure
    • S. Holm A simple sequentially rejective Bonferroni test procedure Scandinavian Journal of Statistics 6 1979 65 70
    • (1979) Scandinavian Journal of Statistics , vol.6 , pp. 65-70
    • Holm, S.1
  • 19
    • 0020187981 scopus 로고
    • On the rationale of maximum-entropy methods
    • E.T. Jaynes On the rationale of maximum-entropy methods Proceeding of the IEEE 70 9 1982 939 952
    • (1982) Proceeding of the IEEE , vol.70 , Issue.9 , pp. 939-952
    • Jaynes, E.T.1
  • 21
    • 84992631062 scopus 로고    scopus 로고
    • Foundations of generalized information theory John Wiley Hoboken, NJ
    • G.J. Klir Uncertainty and information Foundations of generalized information theory 2006 John Wiley Hoboken, NJ
    • (2006) Uncertainty and Information
    • Klir, G.J.1
  • 22
    • 84898030282 scopus 로고    scopus 로고
    • A study of the effect of different types of noise on the precision of supervised learning techniques
    • D.F. Nettleton, A. Orriols-Puig, and A. Fornells A study of the effect of different types of noise on the precision of supervised learning techniques Artificial Intelligence Review 33 4 2010 275 306
    • (2010) Artificial Intelligence Review , vol.33 , Issue.4 , pp. 275-306
    • Nettleton, D.F.1    Orriols-Puig, A.2    Fornells, A.3
  • 23
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J.R. Quinlan Induction of decision trees Machine Learning 1 1986 81 106
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 25
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • (623-656)
    • C.E. Shannon A mathematical theory of communication The Bell System Technical Journal 27 1948 379 423 (623-656)
    • (1948) The Bell System Technical Journal , vol.27 , pp. 379-423
    • Shannon, C.E.1
  • 27
  • 28
    • 78149273906 scopus 로고    scopus 로고
    • Imprecise probabilities based on generalised intervals for system reliability assessment
    • Y. Wang Imprecise probabilities based on generalised intervals for system reliability assessment International Journal of Reliability and Safety 4 30 2010 319 342
    • (2010) International Journal of Reliability and Safety , vol.4 , Issue.30 , pp. 319-342
    • Wang, Y.1
  • 29
    • 0034190734 scopus 로고    scopus 로고
    • The theory of interval-probability as a unifying concept for uncertainty
    • DOI 10.1016/S0888-613X(00)00032-3, PII S0888613X00000323
    • K. Weichselberger The theory of interval-probability as a unifying concept for uncertainty International Journal of Approximate Reasoning 24 2-3 2000 149 170 (Pubitemid 34200944)
    • (2000) International Journal of Approximate Reasoning , vol.24 , Issue.2-3 , pp. 149-170
    • Weichselberger, K.1
  • 31
    • 19544372918 scopus 로고    scopus 로고
    • Class Noise vs attribute noise: A quantitative study of their impacts
    • X. Zhu, and X. Wu Class Noise vs. attribute noise: A quantitative study of their impacts Artificial Intelligence Review 22 3 2004 177 210
    • (2004) Artificial Intelligence Review , vol.22 , Issue.3 , pp. 177-210
    • Zhu, X.1    Wu, X.2
  • 32
    • 79960489276 scopus 로고    scopus 로고
    • Combining nonspecificity measures in Dempster-Shafer theory of evidence
    • J. Abellán Combining nonspecificity measures in Dempster-Shafer theory of evidence International Journal of General Systems 40 6 2011 611 622
    • (2011) International Journal of General Systems , vol.40 , Issue.6 , pp. 611-622
    • Abellán, J.1
  • 33
    • 38249009909 scopus 로고
    • On the specificity of a possibility distribution
    • R. Yager On the specificity of a possibility distribution Fuzzy Sets and Systems 3 1992 279 292
    • (1992) Fuzzy Sets and Systems , Issue.3 , pp. 279-292
    • Yager, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.