Classifier ensemble for uncertain data stream classification

Pan, SR, Wu, KA, Zhang, Y and Li, X (2010). Classifier ensemble for uncertain data stream classification. In: Advances in Knowledge Discovery and Data Mining: Proceedings of the 14th Pacific-Asia Conference (PAKDD 2010). 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), Hyderabad, India, (488-495). 21-24 June 2010. doi:10.1007/978-3-642-13657-3_52

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Author Pan, SR
Wu, KA
Zhang, Y
Li, X
Title of paper Classifier ensemble for uncertain data stream classification
Conference name 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010)
Conference location Hyderabad, India
Conference dates 21-24 June 2010
Proceedings title Advances in Knowledge Discovery and Data Mining: Proceedings of the 14th Pacific-Asia Conference (PAKDD 2010)   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2010
Sub-type Fully published paper
DOI 10.1007/978-3-642-13657-3_52
Open Access Status File (Author Post-print)
ISBN 9783642136566
3642136567
ISSN 0302-9743
1611-3349
Volume 6118
Issue 1
Start page 488
End page 495
Total pages 8
Language eng
Abstract/Summary Currently available algorithms for data stream classification are all designed to handle precise data, while data with uncertainty or imperfection is quite natural and widely seen in real-life applications. Uncertainty can arise in attribute values as well as in class values. In this paper, we focus on the classification of streaming data that has different degrees of uncertainty within class values. We propose two types of ensemble based algorithms, Static Classifier Ensemble (SCE) and Dynamic Classifier Ensemble (DCE) for mining uncertain data streams. Experiments on both synthetic and real-life data set are made to compare and contrast our proposed algorithms. The experimental results reveal that DCE algorithm outperforms SCE algorithm.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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Created: Wed, 09 Mar 2011, 10:54:54 EST by Dr Xue Li on behalf of School of Information Technol and Elec Engineering