Overview
- Presents recent developments of Supervised and Unsupervised Ensemble Methods and Their Applications
- Extended contributions from SUEMA 2007 workshop and more
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 126)
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Table of contents (10 chapters)
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Front Matter
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Ensembles of Clustering Methods and Their Applications
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Ensembles of Classification Methods and Their Applications
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Back Matter
Keywords
About this book
This book was inspired by the last argument and resulted from the workshop on Supervised and Unsupervised Ensemble Methods and their Applications (briefly, SUEMA) organized on June 4, 2007 in Girona, Spain. This workshop was held in conjunction with the 3rd Iberian Conference on Pattern Recognition and Image Analysis and was intended to encompass the progress in the ensemble applications made by the Iberian and international scholars. Despite its small format, SUEMA attracted researchers from Spain, Portugal, France, USA, Italy, and Finland, who presented interesting ideas about using the ensembles in various practical cases. Encouraged by this enthusiastic reply, we decided to publish workshop papers in an edited book, since CD proceedings were the only media distributed among the workshop participants at that time. The book includes nine chapters divided into two parts, assembling contributions to the applications of supervised and unsupervised ensembles.
The book is intended to be primarily a reference work. It could be a good complement to two excellent books on ensemble methodology – “Combining pattern classifiers: methods and algorithms” by Ludmila Kuncheva (John Wiley & Sons, 2004) and “Decomposition methodology for knowledge discovery and data mining: theory and applications” by Oded Maimon and Lior Rokach (World Scientific, 2005).
Editors and Affiliations
Bibliographic Information
Book Title: Supervised and Unsupervised Ensemble Methods and their Applications
Editors: Oleg Okun, Giorgio Valentini
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-78981-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-78980-2Published: 18 April 2008
Softcover ISBN: 978-3-642-09776-8Published: 28 October 2010
eBook ISBN: 978-3-540-78981-9Published: 20 April 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIV, 182
Topics: Artificial Intelligence, Mathematical and Computational Engineering