Knowledge discovery enhanced with semantic and social information
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 Discover...
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| Main Author: | |
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| Other Authors: | , , , , , , , |
| Format: | Livre numérique |
| Language: | Anglais |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence
220 |
| Online Access: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Knowledge discovery enhanced with semantic and social information, Bettina Berendt, Dunja Mladenič, Marco de gemmis... [et al.], eds., Berlin, Springer, 2009, 1 vol. (X-143 p.), Studies in computational intelligence, 978-3-642-01890-9 |
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| 020 | |a 9783642018916 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Kacprzyk, Janusz, |d 1947- | |
| 245 | 1 | 0 | |a Knowledge discovery enhanced with semantic and social information |c edited by Janusz Kacprzyk, Bettina Berendt, Dunja Mladenič, Marco Gemmis, Giovanni Semeraro, Myra Spiliopoulou, Gerd Stumme, Vojtěch Svátek, Filip Železný. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 220 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 700 | 1 | |a Berendt, Bettina, |d 19..- |4 pbd | |
| 700 | 1 | |a Gemmis, Marco de. |4 pbd | |
| 700 | 1 | |a Mladenić, Dunja, |d 1967- |4 pbd | |
| 700 | 1 | |a Semeraro, Giovanni. |4 pbd | |
| 700 | 1 | |a Spiliopoulou, Myra, |d 1965- |4 pbd | |
| 700 | 1 | |a Stumme, Gerd, |d 1967- |4 pbd | |
| 700 | 1 | |a Svátek, Vojtěch. |4 pbd | |
| 700 | 1 | |a Železný, Filip. |4 pbd | |
| 776 | 0 | |0 137104685 |t Knowledge discovery enhanced with semantic and social information |f Bettina Berendt, Dunja Mladenič, Marco de gemmis... [et al.], eds. |c Berlin |n Springer |d 2009 |p 1 vol. (X-143 p.) |s Studies in computational intelligence |z 978-3-642-01890-9 | |
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