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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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| Auteurs principaux : | , |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Data warehousing and knowledge discovery : 15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013 : proceedings / edited by Ladjel Bellatreche, Mukesh K. Mohania |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2013 Cham : Springer Nature |
| Collection : | Information Systems and Applications, incl. Internet/Web, and HCI ; 8057 |
| Accès en ligne : |
Accès Nantes Université
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| Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
| Sujets : | |
| Documents associés : | Autre format:
Data Warehousing and Knowledge Discovery Autre format: Data Warehousing and Knowledge Discovery |
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| 225 | 0 | |a Information Systems and Applications, incl |i Internet/Web, and HCI |x 2946-1642 |v 8057 | |
| 330 | |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. | ||
| 359 | 1 | |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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