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Inhaltsverzeichnis
Invited Papers. - Invention and Artificial Intelligence. - Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. - Training Support Vector Machines via SMO-Type Decomposition Methods. - The Robot Scientist Project. - The Arrowsmith Project: 2005 Status Report. - Regular Contributions - Long Papers. - Practical Algorithms for Pattern Based Linear Regression. - Named Entity Recognition for the Indonesian Language: Combining Contextual, Morphological and Part-of-Speech Features into a Knowledge Engineering Approach. - Bias Management of Bayesian Network Classifiers. - A Bare Bones Approach to Literature-Based Discovery: An Analysis of the Raynaud s/Fish-Oil and Migraine-Magnesium Discoveries in Semantic Space. - Assisting Scientific Discovery with an Adaptive Problem Solver. - Cross-Language Mining for Acronyms and Their Completions from the Web. - Mining Frequent ? -Free Patterns in Large Databases. - An Experiment with Association Rules and Classification: Post-Bagging and Conviction. - Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree. - Support Vector Inductive Logic Programming. - Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences. - The q-Gram Distance for Ordered Unlabeled Trees. - Monotone Classification by Function Decomposition. - Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces. - An Algorithm for Mining Implicit Itemset Pairs Based on Differences of Correlations. - Pattern Classification via Single Spheres. - SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos. - Exploring Predicate-Argument Relations for Named Entity Recognition in the MolecularBiology Domain. - Massive Biomedical Term Discovery. - Active Constrained Clustering by Examining Spectral Eigenvectors. - Learning Ontology-Aware Classifiers. - Regular Contributions - Regular Papers. - Automatic Extraction of Proteins and Their Interactions from Biological Text. - A Data Analysis Approach for Evaluating the Behavior of Interestingness Measures. - Unit Volume Based Distributed Clustering Using Probabilistic Mixture Model. - Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search. - CLASSIC CL: An Integrated ILP System. - Detecting and Revising Misclassifications Using ILP. - Project Reports. - Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants. - A Semantic Enrichment of Data Tables Applied to Food Risk Assessment. - Knowledge Discovery Through Composited Visualization, Navigation and Retrieval. - A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation. - Discovering User Preferences by Using Time Entries in Click-Through Data to Improve Search Engine Results. - Network Boosting for BCI Applications. - Rule-Based FCM: A Relational Mapping Model. - Effective Classifier Pruning with Rule Information. - Text Mining for Clinical Chinese Herbal Medical Knowledge Discovery.
