Scientific and Statistical Database Management [electronic resource] : 23rd International Conference, SSDBM 2011, Portland, OR, USA, July 20-22, 2011. Proceedings / edited by Judith Bayard Cushing, James French, Shawn Bowers.
By: Bayard Cushing, Judith [editor.].
Contributor(s): French, James [editor.] | Bowers, Shawn [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6809Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XVII, 602p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642223518.Subject(s): Computer science | Computer Communication Networks | Computer software | Database management | Information storage and retrieval systems | Information systems | Artificial intelligence | Computer Science | Information Systems Applications (incl.Internet) | Artificial Intelligence (incl. Robotics) | Computer Communication Networks | Information Storage and Retrieval | Database Management | Algorithm Analysis and Problem ComplexityDDC classification: 005.7 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the 23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011, held in Portland, OR, USA, in July 2011. The 26 long and 12 short papers presented together with 15 posters were carefully reviewed and selected from 80 submissions. The topics covered are ranked search; temporal data and queries; workflow and provenance; querying graphs; clustering and data mining; architectures and privacy; and applications and models.
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This book constitutes the refereed proceedings of the 23rd International Conference on Scientific and Statistical Database Management, SSDBM 2011, held in Portland, OR, USA, in July 2011. The 26 long and 12 short papers presented together with 15 posters were carefully reviewed and selected from 80 submissions. The topics covered are ranked search; temporal data and queries; workflow and provenance; querying graphs; clustering and data mining; architectures and privacy; and applications and models.
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