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Volumn 67, Issue , 2014, Pages 162-168

Feature selection via neighborhood multi-granulation fusion

Author keywords

Feature selection; Granular computing; Granularity influence; Multi granulation; Neighborhood rough sets

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; FEATURE EXTRACTION; GRANULAR COMPUTING; ROUGH SET THEORY;

EID: 84904750353     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2014.05.019     Document Type: Article
Times cited : (84)

References (49)
  • 2
    • 84863403768 scopus 로고    scopus 로고
    • Conditional likelihood maximisation: A unifying framework for information theoretic feature selection
    • G. Brown, A. Pocock, M. Zhao, and M. Lujan Conditional likelihood maximisation: a unifying framework for information theoretic feature selection J. Machine Learn. Res. 13 2012 27 66
    • (2012) J. Machine Learn. Res. , vol.13 , pp. 27-66
    • Brown, G.1    Pocock, A.2    Zhao, M.3    Lujan, M.4
  • 3
    • 84869381912 scopus 로고    scopus 로고
    • Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification
    • J. Dai, and Q. Xu Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification Appl. Soft Comput. 13 2013 211 221
    • (2013) Appl. Soft Comput. , vol.13 , pp. 211-221
    • Dai, J.1    Xu, Q.2
  • 4
    • 0242302657 scopus 로고    scopus 로고
    • Consistency-based search in feature selection
    • M. Dash, and H. Liu Consistency-based search in feature selection Artif. Intell. 151 2003 155 176
    • (2003) Artif. Intell. , vol.151 , pp. 155-176
    • Dash, M.1    Liu, H.2
  • 5
    • 80054063216 scopus 로고    scopus 로고
    • Rule learning for classification based on neighborhood covering reduction
    • Y. Du, Q. Hu, P. Zhu, and P. Ma Rule learning for classification based on neighborhood covering reduction Inform. Sci. 181 2011 5457 5467
    • (2011) Inform. Sci. , vol.181 , pp. 5457-5467
    • Du, Y.1    Hu, Q.2    Zhu, P.3    Ma, P.4
  • 7
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyon, and A. Elisseeff An introduction to variable and feature selection J. Machine Learn. Res. 3 2003 1157 1182
    • (2003) J. Machine Learn. Res. , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 8
    • 36148978191 scopus 로고    scopus 로고
    • Neighborhood classifiers
    • Q. Hu, D. Yu, and Z. Xie Neighborhood classifiers Expert Syst. Appl. 34 2008 866 876
    • (2008) Expert Syst. Appl. , vol.34 , pp. 866-876
    • Hu, Q.1    Yu, D.2    Xie, Z.3
  • 9
    • 42949087870 scopus 로고    scopus 로고
    • Mixed feature selection based on granulation and approximation
    • Q. Hu, J. Liu, and D. Yu Mixed feature selection based on granulation and approximation Knowl.-Based Syst. 21 2008 294 304
    • (2008) Knowl.-Based Syst. , vol.21 , pp. 294-304
    • Hu, Q.1    Liu, J.2    Yu, D.3
  • 10
    • 46749140199 scopus 로고    scopus 로고
    • Neighborhood rough set based heterogeneous feature selection
    • Q. Hu, D. Yu, J. Liu, and C. Wu Neighborhood rough set based heterogeneous feature selection Inform. Sci. 178 2008 3577 3594
    • (2008) Inform. Sci. , vol.178 , pp. 3577-3594
    • Hu, Q.1    Yu, D.2    Liu, J.3    Wu, C.4
  • 12
    • 77955091406 scopus 로고    scopus 로고
    • Selecting discrete and continuous features based on neighborhood decision error minimization
    • Q. Hu, W. Pedrycz, D. Yu, and J. Lang Selecting discrete and continuous features based on neighborhood decision error minimization IEEE Trans. Syst. Man Cybernet. - Part B: Cybernet. 40 2010 137 150
    • (2010) IEEE Trans. Syst. Man Cybernet. - Part B: Cybernet. , Issue.40 , pp. 137-150
    • Hu, Q.1    Pedrycz, W.2    Yu, D.3    Lang, J.4
  • 14
    • 84867583002 scopus 로고    scopus 로고
    • Minimum cost attribute reduction in decision-theoretic rough set models
    • X. Jia, W. Liao, Z. Zhen, and L. Shang Minimum cost attribute reduction in decision-theoretic rough set models Inform. Sci. 219 2013 151 167
    • (2013) Inform. Sci. , vol.219 , pp. 151-167
    • Jia, X.1    Liao, W.2    Zhen, Z.3    Shang, L.4
  • 15
    • 84861819666 scopus 로고    scopus 로고
    • An efficient rough feature selection algorithm with a multi-granulation view
    • J. Liang, F. Wang, C. Dang, and Y. Qian An efficient rough feature selection algorithm with a multi-granulation view Inter. J. Approx. Reason. 53 2012 912 926
    • (2012) Inter. J. Approx. Reason. , vol.53 , pp. 912-926
    • Liang, J.1    Wang, F.2    Dang, C.3    Qian, Y.4
  • 16
    • 84864464131 scopus 로고    scopus 로고
    • NMGRS: Neighborhood-based multigranulation rough sets
    • G. Lin, Y. Qian, and J. Li NMGRS: neighborhood-based multigranulation rough sets Int. J. Approx. Reason. 53 2012 1080 1093
    • (2012) Int. J. Approx. Reason. , vol.53 , pp. 1080-1093
    • Lin, G.1    Qian, Y.2    Li, J.3
  • 17
    • 84878263446 scopus 로고    scopus 로고
    • Multigranulation rough sets: From partition to covering
    • G. Lin, J. Liang, and Y. Qian Multigranulation rough sets: from partition to covering Inform. Sci. 241 2013 101 118
    • (2013) Inform. Sci. , vol.241 , pp. 101-118
    • Lin, G.1    Liang, J.2    Qian, Y.3
  • 19
    • 82755184866 scopus 로고    scopus 로고
    • Rough set theory in interval and set-valued information systems
    • in Chinese
    • Y. Lin, J. Li, and S. Wu Rough set theory in interval and set-valued information systems Control Decis. 26 2011 1611 1615 in Chinese
    • (2011) Control Decis. , vol.26 , pp. 1611-1615
    • Lin, Y.1    Li, J.2    Wu, S.3
  • 20
    • 84889088992 scopus 로고    scopus 로고
    • Mining stable patterns in multiple correlated databases
    • Y. Lin, X. Hu, X. Li, and X. Wu Mining stable patterns in multiple correlated databases Decis. Support Syst. 56 2013 202 210
    • (2013) Decis. Support Syst. , vol.56 , pp. 202-210
    • Lin, Y.1    Hu, X.2    Li, X.3    Wu, X.4
  • 21
    • 84894547374 scopus 로고    scopus 로고
    • Quality of information-based source assessment and selection
    • Y. Lin, X. Hu, and X. Wu Quality of information-based source assessment and selection Neurocomputing 133 2014 95 102
    • (2014) Neurocomputing , vol.133 , pp. 95-102
    • Lin, Y.1    Hu, X.2    Wu, X.3
  • 22
    • 84957436848 scopus 로고    scopus 로고
    • Ensemble learning from multiple information sources via label propagation and consensus
    • doi:10.1007/s10489-013-0508-7
    • Y. Lin, X. Hu, X. Wu, Ensemble learning from multiple information sources via label propagation and consensus, Appl. Intell. http://dx.doi.org/10.1007/ s10489-013-0508-7.
    • Appl. Intell.
    • Lin, Y.1    Hu, X.2    Wu, X.3
  • 23
    • 84860260862 scopus 로고    scopus 로고
    • A multiple-category classification approach with decision-theoretic Rough sets
    • D. Liu, T.R. Li, and H.X. Li A multiple-category classification approach with decision-theoretic Rough sets Fundam. Inform. 155 2012 173 188
    • (2012) Fundam. Inform. , vol.155 , pp. 173-188
    • Liu, D.1    Li, T.R.2    Li, H.X.3
  • 24
    • 84888054977 scopus 로고    scopus 로고
    • Feature selection with test cost constraint
    • F. Min, Q. Hu, and W. Zhu Feature selection with test cost constraint Int. J. Approx. Reason. 55 2014 167 179
    • (2014) Int. J. Approx. Reason. , vol.55 , pp. 167-179
    • Min, F.1    Hu, Q.2    Zhu, W.3
  • 27
    • 0036532805 scopus 로고    scopus 로고
    • Feature analysis through information granulation and fuzzy sets
    • W. Pedrycz, and G. Vukovich Feature analysis through information granulation and fuzzy sets Pattern Recogn. 35 2002 825 834
    • (2002) Pattern Recogn. , vol.35 , pp. 825-834
    • Pedrycz, W.1    Vukovich, G.2
  • 28
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • H. Peng, F. Long, and C. Ding Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy IEEE Trans. Pattern Anal. Machine Intell. 27 2005 1226 1238
    • (2005) IEEE Trans. Pattern Anal. Machine Intell. , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 29
    • 78651367557 scopus 로고    scopus 로고
    • Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation
    • J. Qian, D. Miao, Z. Zhang, and W. Li Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation Int. J. Approx. Reason. 52 2011 212 230
    • (2011) Int. J. Approx. Reason. , vol.52 , pp. 212-230
    • Qian, J.1    Miao, D.2    Zhang, Z.3    Li, W.4
  • 30
    • 73149118678 scopus 로고    scopus 로고
    • MGRS: A multi-granulation rough set
    • Y. Qian, J. Liang, Y. Yao, and C. Dang MGRS: a multi-granulation rough set Inform. Sci. 180 2010 949 970
    • (2010) Inform. Sci. , vol.180 , pp. 949-970
    • Qian, Y.1    Liang, J.2    Yao, Y.3    Dang, C.4
  • 33
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of ReliefF and RReliefF
    • M. Sikonja, and I. Kononenko Theoretical and empirical analysis of ReliefF and RReliefF Machine Learn. 53 2003 23 69
    • (2003) Machine Learn. , vol.53 , pp. 23-69
    • Sikonja, M.1    Kononenko, I.2
  • 35
    • 0036662454 scopus 로고    scopus 로고
    • Decision table reduction based on conditional information entropy
    • G. Wang, H. Yu, and D.C. Yang Decision table reduction based on conditional information entropy Chinese J. Comput. 25 7 2002 759 766
    • (2002) Chinese J. Comput. , vol.25 , Issue.7 , pp. 759-766
    • Wang, G.1    Yu, H.2    Yang, D.C.3
  • 36
    • 84879606284 scopus 로고    scopus 로고
    • Optimal scale selection for multi-scale decision tables
    • W.-Z. Wu, and Y. Leung Optimal scale selection for multi-scale decision tables Int. J. Approx. Reason. 54 2013 1107 1129
    • (2013) Int. J. Approx. Reason. , vol.54 , pp. 1107-1129
    • Wu, W.-Z.1    Leung, Y.2
  • 37
    • 0036646071 scopus 로고    scopus 로고
    • Neighborhood operator systems and approximations
    • W.-Z. Wu, and W. Zhang Neighborhood operator systems and approximations Inform. Sci. 144 2002 201 217
    • (2002) Inform. Sci. , vol.144 , pp. 201-217
    • Wu, W.-Z.1    Zhang, W.2
  • 39
    • 0032204205 scopus 로고    scopus 로고
    • Relational interpretations of neighborhood operators and rough set approximation operators
    • Y. Yao Relational interpretations of neighborhood operators and rough set approximation operators Inform. Sci. 111 1998 239 259
    • (1998) Inform. Sci. , vol.111 , pp. 239-259
    • Yao, Y.1
  • 40
    • 33748157879 scopus 로고    scopus 로고
    • Neighborhood systems and approximate retrieval
    • Y. Yao Neighborhood systems and approximate retrieval Inform. Sci. 176 2006 3431 3452
    • (2006) Inform. Sci. , vol.176 , pp. 3431-3452
    • Yao, Y.1
  • 41
    • 52949144505 scopus 로고    scopus 로고
    • Probabilistic rough set approximations
    • Y. Yao Probabilistic rough set approximations Int. J. Approx. Reason. 49 2008 255 271
    • (2008) Int. J. Approx. Reason. , vol.49 , pp. 255-271
    • Yao, Y.1
  • 42
    • 70449130467 scopus 로고    scopus 로고
    • Three-way decisions with probabilistic rough sets
    • Y. Yao Three-way decisions with probabilistic rough sets Inform. Sci. 180 2010 341 353
    • (2010) Inform. Sci. , vol.180 , pp. 341-353
    • Yao, Y.1
  • 43
    • 0035155557 scopus 로고    scopus 로고
    • Information granulation and rough approximation
    • Y. Yao Information granulation and rough approximation Int. J. Intell. Syst. 16 2001 87 104
    • (2001) Int. J. Intell. Syst. , vol.16 , pp. 87-104
    • Yao, Y.1
  • 44
    • 1642469977 scopus 로고    scopus 로고
    • Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
    • L. Zadeh Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic Fuzzy Sets Syst. 90 1997 111 127
    • (1997) Fuzzy Sets Syst. , vol.90 , pp. 111-127
    • Zadeh, L.1
  • 45
    • 84879605790 scopus 로고    scopus 로고
    • Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing
    • Q. Zhang, and D. Miao Two basic double-quantitative rough set models of precision and grade and their investigation using granular computing Int. J. Approx. Reason. 54 2013 1130 1148
    • (2013) Int. J. Approx. Reason. , vol.54 , pp. 1130-1148
    • Zhang, Q.1    Miao, D.2
  • 46
    • 79956014051 scopus 로고    scopus 로고
    • Locality preserving multimodal discriminative learning for supervised feature selection
    • Z. Zhang, and N. Ye Locality preserving multimodal discriminative learning for supervised feature selection Knowl. Inform. Syst. 27 2011 473 490
    • (2011) Knowl. Inform. Syst. , vol.27 , pp. 473-490
    • Zhang, Z.1    Ye, N.2
  • 47
    • 84883202893 scopus 로고    scopus 로고
    • Adaptive neighborhood granularity selection and combination based on margin distribution optimization
    • P. Zhu, and Q. Hu Adaptive neighborhood granularity selection and combination based on margin distribution optimization Inform. Sci. 249 2013 1 12
    • (2013) Inform. Sci. , vol.249 , pp. 1-12
    • Zhu, P.1    Hu, Q.2
  • 48
    • 84867878080 scopus 로고    scopus 로고
    • Neighborhood effective information ratio for hybrid feature subset evaluation and selection
    • W. Zhu, G. Si, Y. Zhang, and J. Wang Neighborhood effective information ratio for hybrid feature subset evaluation and selection Neurocomputing 99 2013 25 37
    • (2013) Neurocomputing , vol.99 , pp. 25-37
    • Zhu, W.1    Si, G.2    Zhang, Y.3    Wang, J.4
  • 49
    • 0037621960 scopus 로고    scopus 로고
    • Reduction and axiomization of covering generalized rough sets
    • W. Zhu, and F. Wang Reduction and axiomization of covering generalized rough sets Inform. Sci. 152 2003 217 230
    • (2003) Inform. Sci. , vol.152 , pp. 217-230
    • Zhu, W.1    Wang, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.