Overview

This book constitutes the refereed proceedings of the 4th International Conference on Intelligent Data Analysis, IDA 2001, held in Cascais, Portugal, in September 2001. The 37 revised full papers presented were carefully reviewed and selected from a total of almost 150 submissions. All current aspects of this interdisciplinary field are addressed; the areas covered include statistics, artificial intelligence, neural networks, machine learning, data mining, and interactive dynamic data visualization.

Full Product Details

Author:   Frank Hoffmann ,  David J Hand ,  Niall M. Adams ,  Douglas Fisher
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2001 ed.
Volume:   2189
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.30cm
Weight:   1.250kg
ISBN:  

9783540425816

ISBN 10:   3540425810
Pages:   388
Publication Date:   05 September 2001
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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.

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