Advances in Intelligent Data Analysis [electronic resource] : 4th International Conference, IDA 2001 Cascais, Portugal, September 13–15, 2001 Proceedings / edited by Frank Hoffmann, David J. Hand, Niall Adams, Douglas Fisher, Gabriela Guimaraes.

The Fourth International Symposium on Intelligent Data Analysis -- Feature Characterization in Scientific Datasets -- Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation -- Generating Fuzzy Summaries From Fuzzy Multidimensional Databases -- A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets -- Predicting Time-Varying Functions with Local Models -- Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering — A Preliminary Study -- Tagging with Small Training Corpora -- A Search Engine for Morphologically Complex Languages -- Errors Detection and Correction in Large Scale Data Collecting -- A New Framework to Assess Association Rules -- Communities of Interest -- An Evaluation of Grading Classifiers -- Finding Informative Rules in Interval Sequences -- Correlation-Based and Contextual Merit-Based Ensemble Feature Selection -- Nonmetric Multidimensional Scaling with Neural Networks -- Functional Trees for Regression -- Data Mining with Products of Trees -- S 3Bagging: Fast Classifier Induction Method with Subsampling and Bagging -- RNA-Sequence-Structure Properties and Selenocysteine Insertion -- An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes -- An Empirical Comparison of Pruning Methods for Ensemble Classifiers -- A framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis -- Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging -- Self-Supervised Chinese Word Segmentation -- Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules -- Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables -- Fluent Learning: Elucidating the Structure of Episodes -- An Intelligent Decision Support Model for Aviation Weather Forcasting -- MAMBO: Discovering Association Rules Based on Conditional Independencies -- Model Building for Random Fields -- Active Hidden Markov Models for Information Extraction -- Adaptive Lightweight Text Filtering -- General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks -- Investigating Temporal Patterns of Fault Behaviour Within Large Telephony Networks -- Closed Set Based Discovery of Representative Association Rules -- Intelligent Sensor Analysis and Actuator Control -- Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery -- The IDA’01 Robot Data Challenge -- The IDA’01 Robot Data Challenge.