Data warehousing and knowledge discovery : 15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013 : proceedings

This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 held in Prague, Czech Republic, in August 2013. The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions...

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Detalhes bibliográficos
Autor principal: Bellatreche, Ladjel
Outros Autores: Mohania, Mukesh K. (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Cham : Springer Nature
Colecção:Information Systems and Applications, incl. Internet/Web, and HCI 8057
Acesso em linha:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Data Warehousing and Knowledge Discovery, Texte imprimé, 9783642401305
• Data Warehousing and Knowledge Discovery, Texte imprimé, 9783642401329
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505 0 |a Modeling and ETL -- Query optimization and parallelism -- Spatial data warehouses and applications -- Text mining and OLAP -- Recommendation and prediction -- Data mining optimization and machine learning techniques -- Mining and processing data streams -- Clustering and data mining applications -- Social network and graph mining -- Event sequence and Web mining. 
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520 |a This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 held in Prague, Czech Republic, in August 2013. The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on modeling and ETL, query optimization and parallelism, spatial data warehouses and applications, text mining and OLAP, recommendation and prediction, data mining optimization and machine learning techniques, mining and processing data streams, clustering and data mining applications, social network and graph mining, and event sequence and Web mining. 
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