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Scientific and Statistical Database Management [electronic resource] : 24th International Conference, SSDBM 2012, Chania, Crete, Greece, June 25-27, 2012. Proceedings / edited by Anastasia Ailamaki, Shawn Bowers.

By: Ailamaki, Anastasia [editor.].
Contributor(s): Bowers, Shawn [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 7338Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: XVII, 654p. 318 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642312359.Subject(s): Computer science | Computer Communication Networks | Data structures (Computer science) | Database management | Data mining | Information storage and retrieval systems | Computer Science | Database Management | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Information Systems Applications (incl. Internet) | Data Structures | Computer Communication NetworksDDC classification: 005.74 Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 24th International Conference on Scientific and Statistical Database Management, SSDBM 2012, held in Chania, Grete, Greece, in June 2012. The 25 long and 10 short papers presented together with 2 keynotes, 1 panel, and 13 demonstration and poster papers were carefully reviewed and selected from numerous submissions. The topics covered are uncertain and probabilistic data, parallel and distributed data management, graph processing, mining multidimensional data, provenance and workflows, processing scientific queries, and support for demanding applications.
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This book constitutes the refereed proceedings of the 24th International Conference on Scientific and Statistical Database Management, SSDBM 2012, held in Chania, Grete, Greece, in June 2012. The 25 long and 10 short papers presented together with 2 keynotes, 1 panel, and 13 demonstration and poster papers were carefully reviewed and selected from numerous submissions. The topics covered are uncertain and probabilistic data, parallel and distributed data management, graph processing, mining multidimensional data, provenance and workflows, processing scientific queries, and support for demanding applications.

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