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Volumn 48, Issue 5, 2015, Pages 1608-1622

Improving kNN multi-label classification in Prototype Selection scenarios using class proposals

Author keywords

Class proposals; K Nearest Neighbor; Multi label classification; Prototype Selection

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; NEAREST NEIGHBOR SEARCH;

EID: 84921770473     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2014.11.015     Document Type: Article
Times cited : (61)

References (31)
  • 3
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • T. Cover, and P. Hart Nearest neighbor pattern classification IEEE Trans. Inf. Theory 13 1 1967 21 27 10.1109/TIT.1967.1053964
    • (1967) IEEE Trans. Inf. Theory , vol.13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 4
    • 0004255908 scopus 로고    scopus 로고
    • 1st edition McGraw-Hill, Inc. New York, NY, USA
    • T.M. Mitchell Machine Learning 1st edition 1997 McGraw-Hill, Inc. New York, NY, USA
    • (1997) Machine Learning
    • Mitchell, T.M.1
  • 5
    • 84856161441 scopus 로고    scopus 로고
    • Prototype selection for nearest neighbor classification taxonomy and empirical study
    • S. Garcia, J. Derrac, J. Cano, and F. Herrera Prototype selection for nearest neighbor classification taxonomy and empirical study IEEE Trans. Pattern Anal. Mach. Intell. 34 3 2012 417 435 10.1109/TPAMI.2011.142
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , Issue.3 , pp. 417-435
    • Garcia, S.1    Derrac, J.2    Cano, J.3    Herrera, F.4
  • 6
    • 84872775741 scopus 로고    scopus 로고
    • On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection
    • J. Derrac, N. Verbiest, S. García, C. Cornelis, and F. Herrera On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection Soft Comput. 17 2 2013 223 238
    • (2013) Soft Comput. , vol.17 , Issue.2 , pp. 223-238
    • Derrac, J.1    Verbiest, N.2    García, S.3    Cornelis, C.4    Herrera, F.5
  • 8
    • 79955590709 scopus 로고    scopus 로고
    • Prototype reduction techniques a comparison among different approaches
    • L. Nanni, and A. Lumini Prototype reduction techniques a comparison among different approaches Expert Syst. Appl. 38 9 2011 11820 11828 10.1016/j.eswa.2011.03.070
    • (2011) Expert Syst. Appl. , vol.38 , Issue.9 , pp. 11820-11828
    • Nanni, L.1    Lumini, A.2
  • 9
    • 84655176618 scopus 로고    scopus 로고
    • A taxonomy and experimental study on prototype generation for nearest neighbor classification
    • I. Triguero, J. Derrac, S. García, and F. Herrera A taxonomy and experimental study on prototype generation for nearest neighbor classification IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 42 1 2012 86 100 10.1109/TSMCC.2010.2103939
    • (2012) IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. , vol.42 , Issue.1 , pp. 86-100
    • Triguero, I.1    Derrac, J.2    García, S.3    Herrera, F.4
  • 10
  • 11
    • 84871924281 scopus 로고    scopus 로고
    • Genetic algorithms in feature and instance selection
    • C.-F. Tsai, W. Eberle, and C.-Y. Chu Genetic algorithms in feature and instance selection Knowl. Based Syst. 39 0 2013 240 247 10.1016/j.knosys.2012.11.005
    • (2013) Knowl. Based Syst. , vol.39 , Issue.0 , pp. 240-247
    • Tsai, C.-F.1    Eberle, W.2    Chu, C.-Y.3
  • 12
    • 81355127279 scopus 로고    scopus 로고
    • Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection
    • J. Derrac, C. Cornelis, S. García, and F. Herrera Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection Inf. Sci. 186 1 2012 73 92 10.1016/j.ins.2011.09.027
    • (2012) Inf. Sci. , vol.186 , Issue.1 , pp. 73-92
    • Derrac, J.1    Cornelis, C.2    García, S.3    Herrera, F.4
  • 13
    • 17444379003 scopus 로고    scopus 로고
    • Stratification for scaling up evolutionary prototype selection
    • J.R. Cano, F. Herrera, and M. Lozano Stratification for scaling up evolutionary prototype selection Pattern Recognit. Lett. 26 7 2005 953 963 10.1016/j.patrec.2004.09.043
    • (2005) Pattern Recognit. Lett. , vol.26 , Issue.7 , pp. 953-963
    • Cano, J.R.1    Herrera, F.2    Lozano, M.3
  • 14
    • 35648977602 scopus 로고    scopus 로고
    • Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets
    • F. Angiulli, and G. Folino Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets IEEE Trans. Knowl. Data Eng. 19 12 2007 1593 1606 10.1109/TKDE.2007.190665
    • (2007) IEEE Trans. Knowl. Data Eng. , vol.19 , Issue.12 , pp. 1593-1606
    • Angiulli, F.1    Folino, G.2
  • 15
    • 84931162639 scopus 로고
    • The condensed nearest neighbor rule (corresp.)
    • P. Hart The condensed nearest neighbor rule (corresp.) IEEE Trans. Inf. Theory 14 3 1968 515 516 10.1109/TIT.1968.1054155
    • (1968) IEEE Trans. Inf. Theory , vol.14 , Issue.3 , pp. 515-516
    • Hart, P.1
  • 16
    • 0015361129 scopus 로고
    • Asymptotic properties of nearest neighbor rules using edited data
    • D.L. Wilson Asymptotic properties of nearest neighbor rules using edited data IEEE Trans. Syst. Man Cybern. 2 3 1972 408 421 10.1109/TSMC.1972.4309137
    • (1972) IEEE Trans. Syst. Man Cybern. , vol.2 , Issue.3 , pp. 408-421
    • Wilson, D.L.1
  • 18
    • 0040788584 scopus 로고    scopus 로고
    • Nearest neighbour editing and condensing tools-synergy exploitation
    • B.V. Dasarathy, J.S. Sánchez, and S. Townsend Nearest neighbour editing and condensing tools-synergy exploitation Pattern Anal. Appl. 2000 19 30
    • (2000) Pattern Anal. Appl. , pp. 19-30
    • Dasarathy, B.V.1    Sánchez, J.S.2    Townsend, S.3
  • 19
    • 35348902771 scopus 로고    scopus 로고
    • Fast nearest neighbor condensation for large data sets classification
    • F. Angiulli Fast nearest neighbor condensation for large data sets classification IEEE Trans. Knowl. Data Eng. 19 11 2007 1450 1464
    • (2007) IEEE Trans. Knowl. Data Eng. , vol.19 , Issue.11 , pp. 1450-1464
    • Angiulli, F.1
  • 20
    • 84856557853 scopus 로고    scopus 로고
    • New rank methods for reducing the size of the training set using the nearest neighbor rule
    • J.R. Rico-Juan, and J.M. Iñesta New rank methods for reducing the size of the training set using the nearest neighbor rule Pattern Recognit. Lett. 33 5 2012 654 660
    • (2012) Pattern Recognit. Lett. , vol.33 , Issue.5 , pp. 654-660
    • Rico-Juan, J.R.1    Iñesta, J.M.2
  • 22
    • 84956859538 scopus 로고    scopus 로고
    • On the consistency of information filters for lazy learning algorithms
    • J. Zytkow, J. Rauch, Springer Berlin, Heidelberg
    • H. Brighton, and C. Mellish On the consistency of information filters for lazy learning algorithms J. Zytkow, J. Rauch, Principles of Data Mining and Knowledge Discovery, of Lecture Notes in Computer Science vol. 1704 1999 Springer Berlin, Heidelberg 283 288 10.1007/978-3-540-48247-5-31
    • (1999) Principles of Data Mining and Knowledge Discovery, of Lecture Notes in Computer Science , vol.1704 , pp. 283-288
    • Brighton, H.1    Mellish, C.2
  • 24
    • 33644641221 scopus 로고    scopus 로고
    • On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining
    • J.R. Cano, F. Herrera, and M. Lozano On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining Appl. Soft Comput. 6 3 2006 323 332 10.1016/j.asoc.2005.02.006
    • (2006) Appl. Soft Comput. , vol.6 , Issue.3 , pp. 323-332
    • Cano, J.R.1    Herrera, F.2    Lozano, M.3
  • 25
    • 0028428774 scopus 로고
    • A database for handwritten text recognition research
    • J. Hull A database for handwritten text recognition research IEEE Trans. Pattern Anal. Mach. Intell. 16 5 1994 550 554 10.1109/34.291440
    • (1994) IEEE Trans. Pattern Anal. Mach. Intell. , vol.16 , Issue.5 , pp. 550-554
    • Hull, J.1
  • 26
    • 84909719934 scopus 로고
    • On the encoding of arbitrary geometric configurations
    • H. Freeman On the encoding of arbitrary geometric configurations IRE Trans. Electron. Comput. 10 2 1961 260 268 10.1109/TEC.1961.5219197
    • (1961) IRE Trans. Electron. Comput. , vol.10 , Issue.2 , pp. 260-268
    • Freeman, H.1
  • 27
    • 0015960104 scopus 로고
    • The string-to-string correction problem
    • R.A. Wagner, and M.J. Fischer The string-to-string correction problem J. ACM 21 1 1974 168 173 10.1145/321796.321811
    • (1974) J. ACM , vol.21 , Issue.1 , pp. 168-173
    • Wagner, R.A.1    Fischer, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.