000 | 05735nam a22006375i 4500 | ||
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001 | 978-3-540-31698-5 | ||
003 | DE-He213 | ||
005 | 20240730202623.0 | ||
007 | cr nn 008mamaa | ||
008 | 100319s2005 gw | s |||| 0|eng d | ||
020 |
_a9783540316985 _9978-3-540-31698-5 |
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024 | 7 |
_a10.1007/11563983 _2doi |
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050 | 4 | _aQ174-175.3 | |
050 | 4 | _aB67 | |
072 | 7 |
_aPDA _2bicssc |
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072 | 7 |
_aSCI075000 _2bisacsh |
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072 | 7 |
_aPDA _2thema |
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082 | 0 | 4 |
_a501 _223 |
245 | 1 | 0 |
_aDiscovery Science _h[electronic resource] : _b8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings / _cedited by Achim Hoffmann, Hiroshi Motoda, Tobias Scheffer. |
250 | _a1st ed. 2005. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2005. |
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300 |
_aXVI, 404 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3735 |
|
505 | 0 | _aInvited 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. | |
650 | 0 |
_aScience _xPhilosophy. _922225 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aDatabase management. _93157 |
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650 | 0 |
_aInformation storage and retrieval systems. _922213 |
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650 | 0 |
_aInformation technology _xManagement. _95368 |
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650 | 0 |
_aSocial sciences _xData processing. _983360 |
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650 | 1 | 4 |
_aPhilosophy of Science. _937148 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aDatabase Management. _93157 |
650 | 2 | 4 |
_aInformation Storage and Retrieval. _923927 |
650 | 2 | 4 |
_aComputer Application in Administrative Data Processing. _931588 |
650 | 2 | 4 |
_aComputer Application in Social and Behavioral Sciences. _931815 |
700 | 1 |
_aHoffmann, Achim. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9172348 |
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700 | 1 |
_aMotoda, Hiroshi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9172349 |
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700 | 1 |
_aScheffer, Tobias. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9172350 |
|
710 | 2 |
_aSpringerLink (Online service) _9172351 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540292302 |
776 | 0 | 8 |
_iPrinted edition: _z9783540816553 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v3735 _9172352 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/11563983 |
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