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Knowledge Discovery Enhanced with Semantic and Social Information
. Ed(S): Berendt, Bettina; Mladenic, Dunja; Gemmis, Marco De; Semeraro, Giovanni; Spiliopoulou, Myra; Stumme, Gerd; Svatek, Vojtech; Zelezny, Filip
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Description for Knowledge Discovery Enhanced with Semantic and Social Information
Paperback. This book is showcases recent advances in knowledge discovery enhanced with semantic and social information. It includes eight chapters that grew out of joint workshops at ECML/PKDD 2007. The contributions emphasize the vision of the Web as a social medium. Editor(s): Berendt, Bettina; Mladenic, Dunja; Gemmis, Marco de; Semeraro, Giovanni; Spiliopoulou, Myra; Stumme, Gerd; Svatek, Vojtech; Zelezny, Filip. Series: Studies in Computational Intelligence. Num Pages: 143 pages, 9 black & white tables, biography. BIC Classification: CFG; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 9. Weight in Grams: 256.
There is generalagreementthat the quality of Machine Learning and Kno- edgeDiscoveryoutputstronglydependsnotonlyonthequalityofsourcedata andsophisticationoflearningalgorithms,butalsoonadditional,task/domain speci?c input provided by domain experts for the particular session. There is however less agreement on whether, when and how such input can and should e?ectively be formalized and reused as explicit prior knowledge. In the ?rst ofthe two parts into which the book is divided, we aimed to - vestigate current developments and new insights on learning techniques that exploit prior knowledge and on promising application areas. With respect to application areas, experiments on bio-informatics / medical and Web data environments are described. This part comprises a ... Read more
There is generalagreementthat the quality of Machine Learning and Kno- edgeDiscoveryoutputstronglydependsnotonlyonthequalityofsourcedata andsophisticationoflearningalgorithms,butalsoonadditional,task/domain speci?c input provided by domain experts for the particular session. There is however less agreement on whether, when and how such input can and should e?ectively be formalized and reused as explicit prior knowledge. In the ?rst ofthe two parts into which the book is divided, we aimed to - vestigate current developments and new insights on learning techniques that exploit prior knowledge and on promising application areas. With respect to application areas, experiments on bio-informatics / medical and Web data environments are described. This part comprises a ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
143
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
143
Place of Publication
Berlin, Germany
ISBN
9783642426094
SKU
V9783642426094
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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