Advances in Intelligent Data Analysis VI: 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / Edition 1

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Overview

This book constitutes the refereed proceedings of the 6th International Conference on Intelligent Data Analysis, IDA 2005, held in Madrid, Spain in September 2005.

The 46 revised papers presented together with two tutorials and two invited talks were carefully reviewed and selected from 184 submissions. All current aspects of this interdisciplinary field are addressed; the areas covered include statistics, machine learning, data mining, classification and pattern recognition, clustering, applications, modeling, and interactive dynamic data visualization.

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Table of Contents

Probabilistic Latent Clustering of Device Usage.- Condensed Nearest Neighbor Data Domain Description.- Balancing Strategies and Class Overlapping.- Modeling Conditional Distributions of Continuous Variables in Bayesian Networks.- Kernel K-Means for Categorical Data.- Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction.- A Distance-Based Method for Preference Information Retrieval in Paired Comparisons.- Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage.- Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction.- Exploring Hierarchical Rule Systems in Parallel Coordinates.- Bayesian Networks Learning for Gene Expression Datasets.- Pulse: Mining Customer Opinions from Free Text.- Keystroke Analysis of Different Languages: A Case Study.- Combining Bayesian Networks with Higher-Order Data Representations.- Removing Statistical Biases in Unsupervised Sequence Learning.- Learning from Ambiguously Labeled Examples.- Learning Label Preferences: Ranking Error Versus Position Error.- FCLib: A Library for Building Data Analysis and Data Discovery Tools.- A Knowledge-Based Model for Analyzing GSM Network Performance.- Sentiment Classification Using Information Extraction Technique.- Extending the SOM Algorithm to Visualize Word Relationships.- Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization.- Block Clustering of Contingency Table and Mixture Model.- Adaptive Classifier Combination for Visual Information Processing Using Data Context-Awareness.- Self-poised Ensemble Learning.- Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches.- From Local Pattern Mining to Relevant Bi-cluster Characterization.- Machine-Learning with Cellular Automata.- MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data.- Miner Ants Colony: A New Approach to Solve a Mine Planning Problem.- Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs.- Spatial Approach to Pose Variations in Face Verification.- Analysis of Feature Rankings for Classification.- A Mixture Model-Based On-line CEM Algorithm.- Reliable Hierarchical Clustering with the Self-organizing Map.- Statistical Recognition of Noun Phrases in Unrestricted Text.- Successive Restrictions Algorithm in Bayesian Networks.- Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia.- Biological Cluster Validity Indices Based on the Gene Ontology.- An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering.- Dealing with Data Corruption in Remote Sensing.- Regularized Least-Squares for Parse Ranking.- Bayesian Network Classifiers for Time-Series Microarray Data.- Feature Discovery in Classification Problems.- A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization.- Detecting Groups of Anomalously Similar Objects in Large Data Sets.

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