Data mining techniques in grid computing environments / editor, Werner Dubitzky.

Contributor(s):

Dubitzky, Werner, 1958-

Material type: Text

TextPublication details: Chichester, UK ; Hoboken, NJ : Wiley-Blackwell, 2008.Description: 1 online resource (xxi, 266 pages)Content type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780470699904
0470699906
9780470699898
0470699892
9786611939458
6611939458

Subject(s):

Additional physical formats: Print version:: Data mining techniques in grid computing environments.DDC classification:

004/.36 22

LOC classification:

QA76.9.D343 D38374 2008

Online resources:

Click here to access online

Contents:

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.

Action note:

digitized 2010 committed to preserve

Summary: 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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Includes bibliographical references and index.

Print version record.

Use copy Restrictions unspecified star MiAaHDL

Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL

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. MiAaHDL

http://purl.oclc.org/DLF/benchrepro0212

digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

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

John Wiley and Sons Wiley Online Library: Complete oBooks

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NLU Meghalaya Library

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Data mining techniques in grid computing environments / editor, Werner Dubitzky.