Knowledge Discovery in Databases: PKDD 2004, 2004 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings Lecture Notes in Artificial Intelligence Series

This book constitutes the refereed proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2004, held in Pisa, Italy, in September 2004 jointly with ECML 2004.The 39 revised full papers and 9 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 194 papers submitted to PKDD and 107 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area.

Invited Papers.- Random Matrices in Data Analysis.- Data Privacy.- Breaking Through the Syntax Barrier: Searching with Entities and Relations.- Real-World Learning with Markov Logic Networks.- Strength in Diversity: The Advance of Data Analysis.- Contributed Papers.- Mining Positive and Negative Association Rules: An Approach for Confined Rules.- An Experiment on Knowledge Discovery in Chemical Databases.- Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering.- Combining Multiple Clustering Systems.- Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms.- A Framework for Data Mining Pattern Management.- Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach.- AutoPart: Parameter-Free Graph Partitioning and Outlier Detection.- Properties and Benefits of Calibrated Classifiers.- A Tree-Based Approach to Clustering XML Documents by Structure.- Discovery of Regulatory Connections in Microarray Data.- Learning from Little: Comparison of Classifiers Given Little Training.- Geometric and Combinatorial Tiles in 0–1 Data.- Document Classification Through Interactive Supervision of Document and Term Labels.- Classifying Protein Fingerprints.- Finding Interesting Pass Patterns from Soccer Game Records.- Discovering Unexpected Information for Technology Watch.- Scalable Density-Based Distributed Clustering.- Summarization of Dynamic Content in Web Collections.- Mining Thick Skylines over Large Databases.- Ensemble Feature Ranking.- Privately Computing a Distributed k-nn Classifier.- Incremental Nonlinear PCA for Classification.- A Spectroscopy of Texts for Effective Clustering.- Constraint-Based Mining of Episode Rules and Optimal Window Sizes.- Analysing Customer Churn in Insurance Data – A Case Study.- Nomograms for Visualization of Naive Bayesian Classifier.- Using a Hash-Based Method for Apriori-Based Graph Mining.- Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis.- Classification in Geographical Information Systems.- Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach.- Itemset Classified Clustering.- Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering.- Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining.- A Quantification of Cluster Novelty with an Application to Martian Topography.- Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators.- Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge.- Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.- A New Scheme on Privacy Preserving Association Rule Mining.- Posters.- A Unified and Flexible Framework for Comparing Simple and Complex Patterns.- Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data.- Learning from Multi-source Data.- The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets.- COCOA: Compressed Continuity Analysis for Temporal Databases.- Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method.- A Tolerance Rough Set Approach to Clustering Web Search Results.- Improving the Performance of the RISE Algorithm.- Mining History of Changes to Web Access Patterns.- Demonstration Papers.- Visual Mining of Spatial Time Series Data.- Detecting Driving Awareness.- An Effective Recommender System for Highly Dynamic and Large Web Sites.- SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections.- Orange: From Experimental Machine Learning to Interactive Data Mining.- Terrorist Detection System.- Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets.- HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels.- Balios – The Engine for Bayesian Logic Programs.- SEWeP: A Web Mining System Supporting Semantic Personalization.- SPIN! Data Mining System Based on Component Architecture.