Principles of Data Mining and Knowledge Discovery : Proceedings of the 6th European Conference, PKDD 2002, Helsinki, Finland, August 2002: Proceedings Book

	Optimized Substructure Discovery for Semi-structured Data	1
	Fast Outlier Detection in High Dimensional Spaces	15
	Data Mining in Schizophrenia Research - Preliminary Analysis	27
	Fast Algorithms for Mining Emerging Patterns	39
	On the Discovery of Weak Periodicities in Large Time Series	51
	The Need for Low Bias Algorithms in Classification Learning from Large Data Sets	62
	Mining All Non-derivable Frequent Itemsets	74
	Iterative Data Squashing for Boosting Based on a Distribution-Sensitive Distance	86
	Finding Association Rules with Some Very Frequent Attributes	99
	Unsupervised Learning: Self-aggregation in Scaled Principal Component Space	112
	A Classification Approach for Prediction of Target Events in Temporal Sequences	125
	Privacy-Oriented Data Mining by Proof Checking	138
	Choose Your Words Carefully: An Empirical Study of Feature Selection Metrics for Text Classification	150
	Generating Actionable Knowledge by Expert-Guided Subgroup Discovery	163
	Clustering Transactional Data	175
	Multiscale Comparison of Temporal Patterns in Time-Series Medical Databases	188
	Association Rules for Expressing Gradual Dependencies	200
	Support Approximations Using Bonferroni-Type Inequalities	212
	Using Condensed Representations for Interactive Association Rule Mining	225
	Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting	237
	Dependency Detection in MobiMine and Random Matrices	250
	Long-Term Learning for Web Search Engines	263
	Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database	275
	Involving Aggregate Functions in Multi-relational Search	287
	Information Extraction in Structured Documents Using Tree Automata Induction	299
	Algebraic Techniques for Analysis of Large Discrete-Valued Datasets	311
	Geography of Differences between Two Classes of Data	325
	Rule Induction for Classification of Gene Expression Array Data	338
	Clustering Ontology-Based Metadata in the Semantic Web	348
	Iteratively Selecting Feature Subsets for Mining from High-Dimensional Databases	361
	SVM Classification Using Sequences of Phonemes and Syllables	373
	A Novel Web Text Mining Method Using the Discrete Cosine Transform	385
	A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases	397
	Answering the Most Correlated N Association Rules Efficiently	410
	Mining Hierarchical Decision Rules from Clinical Databases Using Rough Sets and Medical Diagnostic Model	423
	Efficiently Mining Approximate Models of Associations in Evolving Databases	435
	Explaining Predictions from a Neural Network Ensemble One at a Time	449
	Structuring Domain-Specific Text Archives by Deriving a Probabilistic XML DTD	461
	Separability Index in Supervised Learning	475
	Finding Hidden Factors Using Independent Component Analysis	488
	Reasoning with Classifiers	489
	A Kernel Approach for Learning from Almost Orthogonal Patterns	494
	Learning with Mixture Models: Concepts and Applications	512
	Author Index	513