Advances in Intelligent Data Analysis: Third International Symposium, IDA-99 Amsterdam, The Netherlands, August 9–11, 1999 ProceedingsAuthor: David J. Hand, Joost N. Kok, Michael R. Berthold Published by Springer Berlin Heidelberg ISBN: 978-3-540-66332-4 DOI: 10.1007/3-540-48412-4Table of Contents:From Theoretical Learnability to Statistical Measures of the Learnable ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis A “Top-Down and Prune” Induction Scheme for Constrained Decision Committees Mining Clusters with Association Rules Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series The Biases of Decision Tree Pruning Strategies Feature Selection as Retrospective Pruning in Hierarchical Clustering Discriminative Power of Input Features in a Fuzzy Model Learning Elements of Representations for Redescribing Robot Experiences “Seeing“ Objects in Spatial Datasets Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings Knowledge-Based Visualization to Support Spatial Data Mining Probabilistic Topic Maps: Navigating through Large Text Collections 3D Grand Tour for Multidimensional Data and Clusters A Decision Tree Algorithm for Ordinal Classification Discovering Dynamics Using Bayesian Clustering Integrating Declarative Knowledge in Hierarchical Clustering Tasks Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization Supervised Classification Problems: How to Be Both Judge and Jury, Includes bibliographical references and index