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| Titolo: |
Discovery Science [[electronic resource] ] : 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings / / edited by Achim Hoffmann, Hiroshi Motoda, Tobias Scheffer
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| Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Edizione: | 1st ed. 2005. |
| Descrizione fisica: | 1 online resource (XVI, 404 p.) |
| Disciplina: | 501 |
| Soggetto topico: | Philosophy and science |
| Artificial intelligence | |
| Database management | |
| Information storage and retrieval | |
| Application software | |
| Philosophy of Science | |
| Artificial Intelligence | |
| Database Management | |
| Information Storage and Retrieval | |
| Computer Appl. in Administrative Data Processing | |
| Computer Appl. in Social and Behavioral Sciences | |
| Persona (resp. second.): | 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. |
| 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.: | 996466222803316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |