Advances in Intelligent Data Analysis: 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001. Proceedings by Frank HoffmannAdvances in Intelligent Data Analysis: 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001. Proceedings by Frank Hoffmann

Advances in Intelligent Data Analysis: 4th International Conference, IDA 2001, Cascais, Portugal…

byFrank HoffmannEditorDavid J Hand, Niall M. Adams

Paperback | September 5, 2001

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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.
Title:Advances in Intelligent Data Analysis: 4th International Conference, IDA 2001, Cascais, Portugal…Format:PaperbackDimensions:388 pages, 23.3 × 15.5 × 0.02 inPublished:September 5, 2001Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540425810

ISBN - 13:9783540425816

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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.