Supervised and unsupervised ensemble methods and their applications
Okun, O.
Valentini, Giorgio
Presents recent developments of Supervised and Unsupervised Ensemble Methods and Their Applications Extended contributions from SUEMA 2007 workshop and more INDICE: Part I Ensembles of Clustering Methods and Their Applications.- Cluster Ensemble Methods: from Single Clusterings to Combined Solutions.- RandomSubspace Ensembles for Clustering Categorical Data.- Ensemble Clustering witha Fuzzy Approach.- Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis.- Part II 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 UnivariateClassifiers.- Gradient Boosting GARCH and Neural Networks for Time Series Prediction.- Cascading with VDM and Binary Decision Trees for Nominal Data.
- ISBN: 978-3-540-78980-2
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 180
- Fecha Publicación: 01/05/2008
- Nº Volúmenes: 1
- Idioma: Inglés