Knowledge Discovery in Databases: PKDD 2004

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.

Includes supplementary material: sn.pub/extras