Advances in Intelligent Data Analysis Book

	Feature Characterization in Scientific Datasets	1
	Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation	13
	Generating Fuzzy Summaries from Fuzzy Multidimensional Databases	24
	A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets	34
	Predicting Time-Varying Functions with Local Models	44
	Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Study	53
	Tagging with Small Training Corpora	63
	A Search Engine for Morphologically Complex Languages	73
	Errors Detection and Correction in Large Scale Data Collecting	84
	A New Framework to Assess Association Rules	95
	Communities of Interest	105
	An Evaluation of Grading Classifiers	115
	Finding Informative Rules in Interval Sequences	125
	Correlation-Based and Contextual Merit-Based Ensemble Feature Selection	135
	Nonmetric Multidimensional Scaling with Neural Networks	145
	Functional Trees for Regression	156
	Data Mining with Products of Trees	167
	S[superscript 3] Bagging: Fast Classifier Induction Method with Subsampling and Bagging	177
	RNA-Sequence-Structure Properties and Selenocysteine Insertion	187
	An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes	198
	An Empirical Comparison of Pruning Methods for Ensemble Classifiers	208
	A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis	218
	Using Multiattribute Prediction Suffix Graphs for Spanish Part-of-Speech Tagging	228
	Self-Supervised Chinese Word Segmentation	238
	Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules	248
	Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables	258
	Fluent Learning: Elucidating the Structure of Episodes	268
	An Intelligent Decision Support Model for Aviation Weather Forcasting	278
	MAMBO: Discovering Association Rules Based on Conditional Independencies	289
	Model Building for Random Fields	299
	Active Hidden Markov Models for Information Extraction	309
	Adaptive Lightweight Text Filtering	319
	A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks	330
	Investigating Temporal Patterns of Fault Behaviour within Large Telephony Networks	340
	Closed Set Based Discovery of Representative Association Rules	350
	Intelligent Sensor Analysis and Actuator Control	360
	Sampling of Highly Correlated Data for Polynomial Regression and Model Discovery	370
	The IDA'01 Robot Data Challenge	378
	Author Index	383