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Synopsis
Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery.- On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programming.- A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery.- A Study of the SEMINTEC Approach to Frequent Pattern Mining.- Partitional Conceptual Clustering of Web Resources Annotated with Ontology Languages.- The Ex Project: Web Information Extraction Using Extraction Ontologies.- Dealing with Background Knowledge in the SEWEBAR Project.- Web Mining 2.0.- Item Weighting Techniques for Collaborative Filtering.- Using Term-Matching Algorithms for the Annotation of Geo-services.
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KNOWLEDGE DISCOVERY ENHANCED WITH SEMANTIC AND SOCIAL INFORMATION
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-325752
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Knowledge Discovery Enhanced with Semantic and Social Information (Studies in Computational Intelligence, 220)
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Knowledge Discovery Enhanced with Semantic and Social Information
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Springer-Verlag GmbH, 2009
ISBN 10 : 3642018904
ISBN 13 : 9783642018909
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 146 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 5406869/12
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Knowledge Discovery Enhanced with Semantic and Social Information
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Springer Berlin Heidelberg, 2009
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ISBN 13 : 9783642018909
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents latest results on knowledge discovery enhanced with semantic and social informationPrior Conceptual Knowledge in Machine Learning and Knowledge Discovery.- On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programming.- A Kn. N° de réf. du vendeur 5043521
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Knowledge Discovery Enhanced with Semantic and Social Information
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Berlin Springer Berlin Heidelberg Springer Jun 2009, 2009
ISBN 10 : 3642018904
ISBN 13 : 9783642018909
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a showcase of recent advances in knowledge discovery enhanced with semantic and social information. It includes eight contributed chapters that grew out of two joint workshops at ECML/PKDD 2007.There is general agreement that the effectiveness of Machine Learning and Knowledge Discovery output strongly depends not only on the quality of source data and the sophistication of learning algorithms, but also on additional input provided by domain experts. There is less agreement on whether, when and how such input can and should be formalized as explicit prior knowledge.The six chapters in the first part of the book aim to investigate this aspect by addressing four different topics: inductive logic programming; the role of human users; investigations of fully automated methods for integrating background knowledge; the use of background knowledge for Web mining. The two chapters in the second part are motivated by the Web 2.0 (r)evolution and the increasingly strong role of user-generated content. The contributions emphasize the vision of the Web as a social medium for content and knowledge sharing. 143 pp. Englisch. N° de réf. du vendeur 9783642018909
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Knowledge Discovery Enhanced with Semantic and Social Information (Studies in Computational Intelligence, 220)
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Knowledge Discovery Enhanced With Semantic and Social Information
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Knowledge Discovery Enhanced with Semantic and Social Information
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2009
ISBN 10 : 3642018904
ISBN 13 : 9783642018909
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a showcase of recent advances in knowledge discovery enhanced with semantic and social information. It includes eight contributed chapters that grew out of two joint workshops at ECML/PKDD 2007.There is general agreement that the effectiveness of Machine Learning and Knowledge Discovery output strongly depends not only on the quality of source data and the sophistication of learning algorithms, but also on additional input provided by domain experts. There is less agreement on whether, when and how such input can and should be formalized as explicit prior knowledge.The six chapters in the first part of the book aim to investigate this aspect by addressing four different topics: inductive logic programming; the role of human users; investigations of fully automated methods for integrating background knowledge; the use of background knowledge for Web mining. The two chapters in the second part are motivated by the Web 2.0 (r)evolution and the increasingly strong role of user-generated content. The contributions emphasize the vision of the Web as a social medium for content and knowledge sharing. N° de réf. du vendeur 9783642018909
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Knowledge Discovery Enhanced with Semantic and Social Information
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Etat : New. pp. 156. N° de réf. du vendeur 261372401
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Knowledge Discovery Enhanced with Semantic and Social Information
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Etat : New. pp. 156 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam. N° de réf. du vendeur 6508334
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