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Volumn 24, Issue 8, 2011, Pages 1151-1158

A novel Bayesian classification for uncertain data

Author keywords

Bayes theorem; Classification; Probabilistic theory; Statistical theory; Uncertain data

Indexed keywords

BAYES THEOREM; BAYESIAN CLASSIFICATION; CONDITIONAL PROBABILITIES; DATA UNCERTAINTY; EMERGING APPLICATIONS; LOCATION-BASED SERVICES; MEASUREMENT PRECISION; NAIVE BAYESIAN; NAIVE BAYESIAN APPROACH; NETWORK LATENCIES; NOVEL METHODS; PROBABILISTIC THEORY; SAMPLING ERRORS; STATISTICAL THEORY; UNCERTAIN DATAS;

EID: 80051470805     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.04.011     Document Type: Article
Times cited : (49)

References (36)
  • 1
    • 80051472291 scopus 로고    scopus 로고
  • 5
    • 33750164227 scopus 로고    scopus 로고
    • Dynamic clustering for interval data based on L2 distance
    • F. Carvalho, P. Brito, and H.H. Bock Dynamic clustering for interval data based on L2 distance Computational Statistics 21 2 2006 231 250
    • (2006) Computational Statistics , vol.21 , Issue.2 , pp. 231-250
    • Carvalho, F.1    Brito, P.2    Bock, H.H.3
  • 9
    • 38049177468 scopus 로고    scopus 로고
    • Mining frequent itemsets from uncertain data
    • C. Chui, B. Kao, E. Hung, Mining frequent itemsets from uncertain data, in: Proceedings of the PAKDD, 2007, pp. 47-58.
    • (2007) Proceedings of the PAKDD , pp. 47-58
    • Chui, C.1    Kao, B.2    Hung, E.3
  • 10
    • 85149612939 scopus 로고
    • Fast effective rule induction
    • W. Cohen, Fast effective rule induction, in: Proceedings of ICML, 1995, pp.115-123.
    • (1995) Proceedings of ICML , pp. 115-123
    • Cohen, W.1
  • 11
    • 57349191578 scopus 로고    scopus 로고
    • Approximation algorithm for clustering uncertain data
    • G. Cormode, A. McGregor, Approximation algorithm for clustering uncertain data, in: Proceedings of the ACM PODS, 2008, pp.191-199.
    • (2008) Proceedings of the ACM PODS , pp. 191-199
    • Cormode, G.1    McGregor, A.2
  • 12
    • 77955229842 scopus 로고    scopus 로고
    • Feature interval learning algorithms for classification
    • A. Dayanik Feature interval learning algorithms for classification Knowledge-Based Systems 23 5 2010 402 417
    • (2010) Knowledge-Based Systems , vol.23 , Issue.5 , pp. 402-417
    • Dayanik, A.1
  • 14
    • 77956194153 scopus 로고    scopus 로고
    • Direct mining of discriminative patterns for classifying uncertain data
    • C. Gao, J. Wang, Direct mining of discriminative patterns for classifying uncertain data, in: Proceedings of the SIGKDD, 2010, pp. 861-870.
    • (2010) Proceedings of the SIGKDD , pp. 861-870
    • Gao, C.1    Wang, J.2
  • 16
    • 32344450354 scopus 로고    scopus 로고
    • Density-based clustering of uncertain data
    • H. Kriegel, M. Pfeifle, Density-based clustering of uncertain data, in: Proceedings of the SIGKDD, 2005, pp. 672-677.
    • (2005) Proceedings of the SIGKDD , pp. 672-677
    • Kriegel, H.1    Pfeifle, M.2
  • 17
    • 34548024339 scopus 로고    scopus 로고
    • Assessing approximations for Gaussian process classification
    • M. Kuss, C. Rasmussen, Assessing approximations for Gaussian process classification, in: Proceedings of NIPS, 2005.
    • (2005) Proceedings of NIPS
    • Kuss, M.1    Rasmussen, C.2
  • 18
    • 20344395615 scopus 로고    scopus 로고
    • A Bayes empirical Bayes decision rule for classification
    • T. Li, and T. Yen A Bayes empirical Bayes decision rule for classification Communications in Statistics - Theory and Methods 34 5 2005 1137 1149
    • (2005) Communications in Statistics - Theory and Methods , vol.34 , Issue.5 , pp. 1137-1149
    • Li, T.1    Yen, T.2
  • 19
    • 79952453595 scopus 로고    scopus 로고
    • Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables
    • P. Liu, F. Jin, X. Zhang, Y. Su, and M. Wang Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables Knowledge-Based Systems 24 4 2011 554 561
    • (2011) Knowledge-Based Systems , vol.24 , Issue.4 , pp. 554-561
    • Liu, P.1    Jin, F.2    Zhang, X.3    Su, Y.4    Wang, M.5
  • 21
    • 77955033536 scopus 로고    scopus 로고
    • DTU: A decision tree for uncertain data
    • B. Qin, Y. Xia, F. Li, DTU: a decision tree for uncertain data, in: Proceedings of PAKDD, 2009, pp. 4-15.
    • (2009) Proceedings of PAKDD , pp. 4-15
    • Qin, B.1    Xia, Y.2    Li, F.3
  • 23
    • 77954726580 scopus 로고    scopus 로고
    • A Bayesian classifier for uncertain data
    • B. Qin, Y. Xia, Li F, A Bayesian classifier for uncertain data, in: Proceedings of SAC, 2010, pp. 1010-1014.
    • (2010) Proceedings of SAC , pp. 1010-1014
    • Qin, B.1    Xia, Y.2    Li, F.3
  • 29
    • 62349101435 scopus 로고    scopus 로고
    • Gaussian kernel optimization for pattern classification
    • J. Wang, H. Lu, K. Plataniotis, and J. Lu Gaussian kernel optimization for pattern classification Pattern Recognition 42 7 2009 1237 1247
    • (2009) Pattern Recognition , vol.42 , Issue.7 , pp. 1237-1247
    • Wang, J.1    Lu, H.2    Plataniotis, K.3    Lu, J.4
  • 34
    • 34047210665 scopus 로고    scopus 로고
    • Mining uncertain data in low-dimensional subspace
    • Z. Yu, H. Wong, Mining uncertain data in low-dimensional subspace, in: Proceedings of ICPR, 2006, pp. 748-751.
    • (2006) Proceedings of ICPR , pp. 748-751
    • Yu, Z.1    Wong, H.2
  • 35
    • 77957982065 scopus 로고    scopus 로고
    • An extended TOPSIS for determining weights of decision makers with interval numbers
    • Z. Yue An extended TOPSIS for determining weights of decision makers with interval numbers Knowledge-Based Systems 24 1 2011 146 153
    • (2011) Knowledge-Based Systems , vol.24 , Issue.1 , pp. 146-153
    • Yue, Z.1
  • 36
    • 67650476336 scopus 로고    scopus 로고
    • Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure
    • H. Zhang, W. Zhang, and C. Mei Entropy of interval-valued fuzzy sets based on distance and its relationship with similarity measure Knowledge-Based Systems 22 6 2009 449 454
    • (2009) Knowledge-Based Systems , vol.22 , Issue.6 , pp. 449-454
    • Zhang, H.1    Zhang, W.2    Mei, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.