Discovery science : 8th international conference, DS 2005, Singapore, October 8-11, 2005 : proceedings / / Achim Hoffmann, Hiroshi Motoda, Tobias Scheffer (eds.)

• Pubblicazione: Berlin ; ; New York, : Springer, c2005
• Edizione: 1st ed. 2005.
• Descrizione fisica: 1 online resource (XVI, 404 p.)
• Disciplina: 501
• Soggetto topico: Discoveries in science; Research - Data processing; Science - Philosophy
• Altri autori: HoffmannAchim MotodaHiroshi SchefferTobias
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 Molecular Biology 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.
• Altri titoli varianti: DS 2005
• Titolo autorizzato: Discovery science
• ISBN: 3-540-31698-1; 3-540-29230-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484131603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture notes in computer science ; ; 3735.; Lecture notes in computer science. . -Lecture notes in artificial intelligence.