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Volumn , Issue , 2009, Pages 418-421

Combining distributed classifies by stacking

Author keywords

Classification; Combining classifiers; DDM; Stacking

Indexed keywords

CLASS DISTRIBUTIONS; COMBINING CLASSIFIERS; DATA SETS; DISTRIBUTED COMPUTING; DISTRIBUTED DATA MINING; GLOBAL MODELS; INTEGRATION STRATEGY; LOCAL CLASSIFIER; MINING TASKS; MULTIPLE CLASSIFIERS; NEW STRATEGY; TRAINING SETS;

EID: 77950634906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WGEC.2009.146     Document Type: Conference Paper
Times cited : (3)

References (15)
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  • 3
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  • 4
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    • Irvine, CA: University of California, Department of Information and Computer Sciences
    • A. Asuncion, D. J. Newman. "UCI Machine Learning Repository". Irvine, CA: University of California, Department of Information and Computer Sciences. 2007.
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    • Asuncion, A.1    Newman, D.J.2
  • 8
    • 84958554285 scopus 로고    scopus 로고
    • An Evalutation of Grading Classifiers
    • Hoffmann F.et al.(eds.), Proc. 4th International Conference, Springer
    • A.K. Seewald, J. Furnkranz. "An Evalutation of Grading Classifiers", In Hoffmann F.et al.(eds.), Advances in Intelligent Data Analysis, Proc. 4th International Conference, Springer, pp.115-124, 2001.
    • (2001) Advances in Intelligent Data Analysis , pp. 115-124
    • Seewald, A.K.1    Furnkranz, J.2
  • 9
    • 12144288329 scopus 로고    scopus 로고
    • Is Combining Classifiers with Stacking Better Than Selecting the Best One?
    • USA
    • S Džeroski , B Ženko, "Is Combining Classifiers with Stacking Better than Selecting the Best One?", Machine Learning, USA, vol.54, no.3, pp.255-273, 2004
    • (2004) Machine Learning , vol.54 , Issue.3 , pp. 255-273
    • Džeroski, S.1    Ženko, B.2
  • 10
    • 0032661927 scopus 로고    scopus 로고
    • Using Correspondence analysis to Combine Classifiers
    • USA
    • C.J. Merz, "Using Correspondence analysis to Combine Classifiers". Machine Learning, USA, Vol. 36, pp.33-58. 1999
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  • 11
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    • Distributed Data Mining of Large Classifier Ensembles
    • SETN-2002, Thessaloniki, Greece, Companion Volume
    • G. Tsoumakas, I. Vlahavas. "Distributed Data Mining of Large Classifier Ensembles". Proceedings of 2nd Hellenic Conference on AI, SETN-2002, Thessaloniki, Greece, Companion Volume, pp249-256. 2002.
    • (2002) Proceedings of 2nd Hellenic Conference on AI , pp. 249-256
    • Tsoumakas, G.1    Vlahavas, I.2
  • 13
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    • Pruning extensions to stacking
    • USA, IOS Press
    • Niall Rooney, David Patterson, Chris Nugent. "Pruning extensions to stacking". Intelligent Data Analysis, USA, vol.10, no.1, pp.47-66, IOS Press. 2006 .
    • (2006) Intelligent Data Analysis , vol.10 , Issue.1 , pp. 47-66
    • Rooney, N.1    Patterson, D.2    Nugent, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.