Supervised and Unsupervised Ensemble Methods and Their Applications

by Okun, Oleg; Valentini, Giorgio

• ISBN13: 9783540789802
• ISBN10: 3540789804
• Format: Hardcover
• Copyright: 2008-05-01
• Publisher: Springer Verlag

Summary

"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. The book includes nine chapters divided into two parts, assembling contributions to the applications of supervised and unsupervised ensembles."--BOOK JACKET.

Table of Contents

Ensembles of Clustering Methods and Their Applications
Cluster Ensemble Methods: from Single Clusterings to Combined Solutions	p. 3
Random Subspace Ensembles for Clustering Categorical Data	p. 31
Ensemble Clustering with a Fuzzy Approach	p. 49
Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis	p. 71
Ensembles of Classification Methods and Their Applications
Intrusion Detection in Computer Systems Using Multiple Classifier Systems	p. 91
Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification	p. 115
Multivariate Time Series Classification via Stacking of Univariate Classifiers	p. 135
Gradient Boosting GARCH and Neural Networks for Time Series Prediction	p. 153
Cascading with VDM and Binary Decision Trees for Nominal Data	p. 165
Index	p. 179
Table of Contents provided by Blackwell. All Rights Reserved.