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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| Format: | eBook |
| Language: | English |
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Chichester, UK
Wiley-Blackwell
2008
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- 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.