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|a 9780470699904
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|a 0470699906
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|a 9780470699898
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|a 9786611939458
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|a 0470699892
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|a 6611939458
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|a QA76.9.D343
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|a Dubitzky, Werner
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|a Data mining techniques in grid computing environments
|c editor, Werner Dubitzky
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|a Chichester, UK
|b Wiley-Blackwell
|c 2008
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|a xxi, 266 pages
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|a Includes bibliographical references and index
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|a Data mining meets grid computing: time to dance? -- Data analysis services in the knowledge grid -- GridMiner: an advanced support for e-science analytics -- ADaM services: scientific data mining in the service-oriented architecture paradigm -- Mining for misconfigured machines in grid systems -- FAEHIM: federated analysis environment for heterogeneous intelligent mining -- Scalable and privacy preserving distributed data analysis over a service-oriented platform -- Building and using analytical workflows in Discovery Net -- Building workflows that traverse the bioninformatics data landscape -- Specifications of distributed data mining workflows with DataMiningGrid -- Antheater: service-oriented data mining -- DMGA: a generic brokering-based Data Mining Grid Architecture -- Grid-based data mining with the environmental scenario search engine (ESSE) -- Data pre-processing using OGSA-DAI.
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|a Data mining / fast
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|a Computational grids (Computer systems) / http://id.loc.gov/authorities/subjects/sh98004531
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|a Computational grids (Computer systems) / fast
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|a Grilles informatiques
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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|a COMPUTERS / Client-Server Computing / bisacsh
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|a Exploration de données (Informatique)
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002
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|a GBA8A3020
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|a 10.1002/9780470699904
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|z 047051258X
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|z 9780470512586
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|z 0470699892
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|z 9780470699898
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|u https://learning.oreilly.com/library/view/~/9780470512586/?ar
|x Verlag
|3 Volltext
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|a 004/.36
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|a Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous design blueprint, user guide, and research agenda for current and future developments and will appeal to a broad audience; from developers and users of data mining and grid technology, to advanced undergraduate and postgraduate students interested in this field."--Publisher description
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