Advances in Intelligent Data Analysis V Book

	Pruning for Monotone Classification Trees	1
	Regularized Learning with Flexible Constraints	13
	Learning to Answer Emails	25
	A Semi-supervised Method for Learning the Structure of Robot Environment Interactions	36
	Using Domain Specific Knowledge for Automated Modeling	48
	Resolving Rule Conflicts with Double Induction	60
	A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure	68
	Constructing Hierarchical Rule Systems	76
	Text Categorization Using Hybrid Multiple Model Schemes	88
	Learning Dynamic Bayesian Networks fom Multivariate Time Series with Changing Dependencies	100
	Topology and Intelligent Data Analysis	111
	Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events	123
	Very Predictive Ngrams for Space-Limited Probabilistic Models	134
	Interval Estimation Naive Bayes	143
	Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks	155
	Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs	167
	An Effective Associative Memory for Pattern Recognition	179
	Similarity Based Classification	187
	Numerical Attributes in Decision Trees: A Hierarchical Approach	198
	Similarity-Based Neural Networks for Applications in Computational Molecular Biology	208
	Combining Pairwise Classifiers with Stacking	219
	APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery	230
	Solving Classifiction Problems Using Infix Form Genetic Programming	242
	What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier	254
	A Mixture Model Approach for Binned Data Clustering	265
	Fuzzy Clustering Based Segmentation of Time-Series	275
	An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering	286
	Data Clustering in Tolerance Space	297
	Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings	307
	Clustering Mobile Trajectories for Resource Allocation in Mobile Environments	319
	Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points	330
	Combining and Comparing Cluster Methods in a Receptor Database	341
	Selective Sampling with a Hierarchical Latent Variable Model	352
	Obtaining Quality Microarray Data via Image Reconstrution	364
	Large Scale Mining of Molecular Fragments with Wildcards	376
	Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Aligmnent Kernel	386
	Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation	397
	Gaussian Mixture Density Estimation Applied to Microarray Data	418
	Classification of Protein Localisation Patterns via Supervised Neural Network Learning	430
	Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software	440
	The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction	451
	A Multiagent-Based Constructive Approach for Feedforward Neural Networks	462
	Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems	474
	Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting	486
	On the Use of the GTM Algorithm for Mode Detection	497
	Regularization Methods for Additive Models	509
	Automated Detection of Influenza Epidemics with Hidden Markov Models	521
	Guided Incremental Construction of Belief Networks	533
	Distributed Regression for Heterogeneous Data Sets	544
	A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning	554
	Compression Technique Preserving Correlations of a Multivariate Temporal Sequence	566
	Condensed Representations in Presence of Missing Values	578
	Measures of Rule Quality for Feature Selection in Text Categorization	589
	Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation	599
	Active Feature Selection Based on a Very Limited Number of Entities	611
	Author Index	623