Machine Learning.- Pruning for Monotone Classification Trees.- Regularized Learning with Flexible Constraints.- Learning to Answer Emails.- A Semi-supervised Method for Learning the Structure of Robot Environment Interactions.- Using Domain Specific Knowledge for Automated Modeling.- Resolving Rule Conflicts with Double Induction.- A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure.- Constructing Hierarchical Rule Systems.- Text Categorization Using Hybrid Multiple Model Schemes.- Probability and Topology.- Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies.- Topology and Intelligent Data Analysis.- Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events.- Very Predictive Ngrams for Space-Limited Probabilistic Models.- Interval Estimation Naïve Bayes.- Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks.- Classification and Pattern Recognition.- Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs.- An Effective Associative Memory for Pattern Recognition.- Similarity Based Classification.- Numerical Attributes in Decision Trees: A Hierarchical Approach.- Similarity-Based Neural Networks for Applications in Computational Molecular Biology.- Combining Pairwise Classifiers with Stacking.- APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery.- Solving Classification Problems Using Infix Form Genetic Programming.- Clustering.- What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier.- A Mixture Model Approach for Binned Data Clustering.- Fuzzy Clustering Based Segmentation of Time-Series.- An Iterated Local Search Approach forMinimum Sum-of-Squares Clustering.- Data Clustering in Tolerance Space.- Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings.- Clustering Mobile Trajectories for Resource Allocation in Mobile Environments.- Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points.- Combining and Comparing Cluster Methods in a Receptor Database.- Applications.- Selective Sampling with a Hierarchical Latent Variable Model.- Obtaining Quality Microarray Data via Image Reconstruction.- Large Scale Mining of Molecular Fragments with Wildcards.- Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel.- Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation.- Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market.- Gaussian Mixture Density Estimation Applied to Microarray Data.- Classification of Protein Localisation Patterns via Supervised Neural Network Learning.- Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software.- The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction.- Modeling.- A Multiagent-Based Constructive Approach for Feedforward Neural Networks.- Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems.- Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting.- On the Use of the GTM Algorithm for Mode Detection.- Regularization Methods for Additive Models.- Automated Detection of Influenza Epidemics with Hidden Markov Models.- Guided Incremental Construction of Belief Networks.- Distributed Regression for Heterogeneous Data Sets.- (Data) Preprocessing.- ALogical Formalisation of the Fellegi-Holt Method of Data Cleaning.- Compression Technique Preserving Correlations of a Multivariate Temporal Sequence.- Condensed Representations in Presence of Missing Values.- Measures of Rule Quality for Feature Selection in Text Categorization.- Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation.- Active Feature Selection Based on a Very Limited Number of Entities.

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