Specifying big data benchmarks : first workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and second workshop, WBDB 2012, Pune, India, December 17-18, 2012, revised selected papers /

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Bibliographic Details
Meeting name:	WBDB (Workshop) (1st : 2012 : San Jose, Calif.)
Imprint:	Heidelberg : Springer, [2014] ©2014
Description:	1 online resource (xii, 203 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science, 1611-3349 ; 8163 LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI. Lecture notes in computer science ; 8163.
Subject:	Big data -- Congresses. Data mining -- Congresses. Computer science. Database management. Information storage and retrieval systems. Big data. Computer science. Data mining. Database management. Information storage and retrieval systems. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11082483

Hidden Bibliographic Details
Varying Form of Title:	WBDB 2012
Other authors / contributors:	Rabl, Tilmann, editor. Poess, Meikel, editor. Baru, Chaitanya, editor. Jacobsen, Hans-Arno, 1969- editor. WBDB (Workshop) (2nd : 2012 : Pune, India)
ISBN:	9783642539749 3642539742 9783642539732 3642539734
Notes:	Includes bibliographical references and index.
Summary:	This book constitutes the thoroughly refereed revised selected papers of the First Workshop on Big Data Benchmarks, WBDB 2012, held in San Jose, CA, USA, in May 2012 and the Second Workshop on Big Data Benchmarks, WBDB 2012, held in Pune, India, in December 2012. The 14 revised papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on benchmarking, foundations and tools; domain specific benchmarking; benchmarking hardware; and endo-to-end big data benchmarks.
Other form:	Print version: Workshop on Big Data Benchmarking (1st : 2012 : San Jose, Calif.). Specifying big data benchmarks. Heidelberg : Springer, [2014] 9783642539732
Standard no.:	10.1007/978-3-642-53974-9

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