Inhaltsverzeichnis
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.
