This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.

This volume contains a revised collection of papers presented at the Fifth International Workshop on Artificial Intelligence and Statistics in 1995. The topics covered includenatural language applications, causality and graphical models, classification, learning, and knowledge discovery.