Data mining techniques in grid computing environments /
editor, Werner Dubitzky.
- Chichester, UK ; Hoboken, NJ : Wiley-Blackwell, 2008.
- 1 online resource (xxi, 266 pages)
Includes bibliographical references and index.
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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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
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
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. http://purl.oclc.org/DLF/benchrepro0212