Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Kotsiantis, S.; * | Pintelas, P.
Affiliations: Educational Software Development Laboratory, Department of Mathematics, University of Patras, P.A. Box: 1399, University of Patras, Patra 26500, Greece
Correspondence: [*] Corresponding author. Tel.: +30 2610 997833; +30 2610 992965; +30 2610 997313; Fax: +30 2610 992965; E-mail: sotos@math.upatras.gr
Abstract: Many data mining problems involve an investigation of relationships between features in heterogeneous datasets, where different learning algorithms can be more appropriate for different regions. We propose herein a technique of localized voting of weak classifiers. This technique identifies local regions which have similar characteristics and then uses the votes of each local expert to describe the relationship between the data characteristics and the target class. We performed a comparison with other well known combining methods on standard benchmark datasets and the accuracy of the proposed method was greater.
Keywords: Machine learning, data mining, classification, ensembles of classifiers
DOI: 10.3233/KES-2005-9308
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 9, no. 3, pp. 239-248, 2005
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl