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Data Mining Techniques in Grid Computing Environments

Autor W Dubitzky
en Limba Engleză Hardback – 13 noi 2008
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.
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Specificații

ISBN-13: 9780470512586
ISBN-10: 047051258X
Pagini: 288
Dimensiuni: 178 x 252 x 21 mm
Greutate: 0.64 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom

Public țintă

Primary: Developers and users of data mining and grid technology across a wide range of subject areas including biomedical sciences, finance, manufacturing and marketing.   Secondary: advanced undergraduate and postgraduate students on a variety of courses such as data mining, grid computing, high–performance computing, knowledge–based systems, bioinformatics and medical informatics.
Courses names: bioinformatics, medical informatics and systems biology

Cuprins


Notă biografică

Werner Dubitzky, PhD, is Chair of Bioinformatics at the Biomedical Sciences Research Institute in the Faculty of Life and Health Sciences at the University of Ulster. His research investigates systems biology, knowledge management in biology, grid computing, and data mining.

Krzysztof Kurowski, PhD, leads the Applications Department at Poznan Supercomputing and Networking Center in Poland. His research is focused on the modeling of advanced applications, scheduling, and resource management in networked environments.


Descriere

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.