Supervised and Unsupervised Ensemble Methods and their Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Okun, Oleg (Editor), Valentini, Giorgio (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 126
• Subjects: Computer science.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

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...

Table of Contents:

• Ensembles of Clustering Methods and Their Applications
• Cluster Ensemble Methods: from Single Clusterings to Combined Solutions
• Random Subspace Ensembles for Clustering Categorical Data
• Ensemble Clustering with a Fuzzy Approach
• Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis
• Ensembles of Classification Methods and Their Applications
• Intrusion Detection in Computer Systems Using Multiple Classifier Systems
• Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification
• Multivariate Time Series Classification via Stacking of Univariate Classifiers
• Gradient Boosting GARCH and Neural Networks for Time Series Prediction
• Cascading with VDM and Binary Decision Trees for Nominal Data
• Erratum.