Advances in Intelligent Data Analysis

by Ida-9 (1999 Amsterdam, Netherlands); Hand, D. J.; Kok, Joost N.; Berthold, Michael R.

• ISBN13: 9783540663324
• ISBN10: 3540663320
• Format: Paperback
• Copyright: 1999-08-01
• Publisher: Springer Verlag

Summary

This book constitutes the refereed proceedings of the Third International Symposium on Intelligent Data Analysis, IDA-99 held in Amsterdam, The Netherlands in August 1999.The 21 revised full papers and 23 posters presented in the book were carefully reviewed and selected from a total of more than 100 submissions. The papers address all current aspects of intelligent data analysis; they are organized in sections on learning, visualization, classification and clustering, integration, applications and media mining.

Table of Contents

From Theoretical Learnability to Statistical Measures of the Learnable	p. 3
ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis	p. 15
A "Top-Down and Prune" Induction Scheme for Constrained Decision Committees	p. 27
Mining Clusters with Association Rules	p. 39
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series	p. 51
The Biases of Decision Tree Pruning Strategies	p. 63
Feature Selection as Retrospective Pruning in Hierarchical Clustering	p. 75
Discriminative Power of Input Features in a Fuzzy Model	p. 87
Learning Elements of Representations for Redescribing Robot Experiences	p. 99
"Seeing" Objects in Spatial Datasets	p. 111
Intelligent Monitoring Method Using Time Varying Binomial Distribution Models for Pseudo-Periodic Communication Traffic	p. 123
Monitoring Human Information Processing via Intelligent Data Analysis of EEG Recordings	p. 137
Knowledge-Based Visualization to Support Spatial Data Mining	p. 149
Probabilistic Topic Maps: Navigating through Large Text Collections	p. 161
3D Grand Tour for Multidimensional Data and Clusters	p. 173
A Decision Tree Algorithm for Ordinal Classification	p. 187
Discovering Dynamics Using Bayesian Clustering	p. 199
Integrating Declarative Knowledge in Hierarchical Clustering Tasks	p. 211
Nonparametric Linear Discriminant Analysis by Recursive Optimization with Random Initialization	p. 223
Supervised Classification Problems: How to Be Both Judge and Jury	p. 235
Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification	p. 245
Exploiting Similarity for Supporting Data Analysis and Problem Solving	p. 257
Multiple Prototype Model for Fuzzy Clustering	p. 269
A Comparison of Genetic Programming Variants for Data Classification	p. 281
Fuzzy Clustering Based on Modified Distance Measures	p. 291
Building Classes in Object-Based Languages by Automatic Clustering	p. 303
Adjusted Estimation for the Combination of Classifiers	p. 317
Data-Driven Theory Refinement Using KBDistAI	p. 331
Reasoning about Input-Output Modeling of Dynamical Systems	p. 343
Undoing Statistical Advice	p. 357
A Method for Temporal Knowledge Conversion	p. 369
Intrusion Detection through Behavioral Data	p. 383
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry	p. 395
Exploiting Sample-Data Distributions to Reduce the Cost of Nearest-Neighbor Searches with Kd-Trees	p. 407
Pump Failure Detection Using Support Vector Data Descriptions	p. 415
Data Mining for the Detection of Turning Points in Financial Time Series	p. 427
Computer-Assisted Classification of Legal Abstracts	p. 437
Sequential Control Logic Inferring Method from Observed Plant I/O Data	p. 449
Evaluating an Eye Screening Test	p. 461
Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure	p. 473
Exploiting Structural Information for Text Classification on the WWW	p. 487
Multi-agent Web Information Retrieval: Neural Network Based Approach	p. 499
Adaptive Information Filtering Algorithms	p. 513
A Conceptual Graph Approach for Video Data Representation and Retrieval	p. 525
Author Index	p. 537
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