Data mining techniques in grid computing environments

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 n...

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Bibliographic Details
Main Author: Dubitzky, Werner
Format: eBook
Language:English
Published: Chichester, UK Wiley-Blackwell 2008
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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245 0 0 |a Data mining techniques in grid computing environments  |c editor, Werner Dubitzky 
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300 |a xxi, 266 pages 
505 0 |a Includes bibliographical references and index 
505 0 |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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653 |a Computational grids (Computer systems) / http://id.loc.gov/authorities/subjects/sh98004531 
653 |a Computational grids (Computer systems) / fast 
653 |a Grilles informatiques 
653 |a Data mining / http://id.loc.gov/authorities/subjects/sh97002073 
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653 |a Exploration de données (Informatique) 
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520 |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