Effective classification of noisy data streams with attribute-oriented dynamic classifier selection

Author： Zhu Xingquan Wu Xindong Yang Ying

ISSN： 0219-1377

Source： Knowledge and Information Systems, Vol.9, Iss.3, 2006-03, pp. : 339-363

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Classifier evaluation and attribute selection against active adversaries

By Kantarcıoğlu Murat

Data Mining and Knowledge Discovery, Vol. 22, Iss. 1-2, 2011-01 ,pp. : 291-335

Springer Publishing Company

Access to resources Recommend Favorite

Symbolization assisted SVM classifier for noisy data

By Kumar R. Kulkarni A. Jayaraman V.K. Kulkarni B.D.

Pattern Recognition Letters, Vol. 25, Iss. 4, 2004-03 ,pp. : 495-504

Elsevier

Access to resources Recommend Favorite

AN EFFECTIVE ATTRIBUTE CLUSTERING APPROACH FOR FEATURE SELECTION AND REPLACEMENT

By Hong Tzung-Pei Wang Po-Cheng Lee Yeong-Chyi

Cybernetics and Systems, Vol. 40, Iss. 8, 2009-11 ,pp. : 657-669

Taylor & Francis Ltd

Access to resources Recommend Favorite

Dynamic selection approaches for multiple classifier systems

By Cavalin Paulo

Neural Computing & Applications, Vol. 22, Iss. 3-4, 2013-03 ,pp. : 673-688

Springer Publishing Company

Access to resources Recommend Favorite

Performance evaluation of incremental decision tree learning under noisy data streams

By Yang Hang Fong Simon

International Journal of Computer Applications in Technology, Vol. 47, Iss. 2-3, 2013-06 ,pp. : 206-214

Inderscience Publishers

Access to resources Recommend Favorite