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130901 ||| eng |
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|a 9783642401312
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100 |
1 |
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|a Bellatreche, Ladjel
|e [editor]
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245 |
0 |
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|a Data Warehousing and Knowledge Discovery
|h Elektronische Ressource
|b 15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013, Proceedings
|c edited by Ladjel Bellatreche, Mukesh K. Mohania
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250 |
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|a 1st ed. 2013
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2013, 2013
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300 |
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|a XIV, 374 p. 129 illus
|b online resource
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505 |
0 |
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|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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653 |
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|a Database Management
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653 |
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|a Data mining
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653 |
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|a Computer Application in Administrative Data Processing
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653 |
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|a Data Mining and Knowledge Discovery
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653 |
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|a Information technology / Management
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653 |
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|a Database management
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700 |
1 |
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|a Mohania, Mukesh K.
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
0 |
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|a Information Systems and Applications, incl. Internet/Web, and HCI
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028 |
5 |
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|a 10.1007/978-3-642-40131-2
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856 |
4 |
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|u https://doi.org/10.1007/978-3-642-40131-2?nosfx=y
|x Verlag
|3 Volltext
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|a 005.74
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520 |
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|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
|