Data Mining Techniques in Grid Computing Environments

Data Mining Techniques in Grid Computing Environments

Editor(s): Werner Dubitzky

Published Online: 22 JUN 2009

Print ISBN: 9780470512586

Online ISBN: 9780470699904

DOI: 10.1002/9780470699904

About this Book

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.

Table of contents

    1. You have free access to this content
    2. Chapter 1

      Data Mining Meets Grid Computing: Time to Dance? (pages 1–16)

      Alberto Sánchez, Jesús Montes, Werner Dubitzky, Julio J. Valdés, María S. Pérez and Pedro de Miguel

    3. Chapter 2

      Data Analysis Services in the Knowledge Grid (pages 17–36)

      Eugenio Cesario, Antonio Congiusta, Domenico Talia and Paolo Trunfio

    4. Chapter 4

      ADaM Services: Scientific Data Mining in the Service-Oriented Architecture Paradigm (pages 57–70)

      Rahul Ramachandran, Sara Graves, John Rushing, Ken Keizer, Manil Maskey, Hong Lin and Helen Conover

    5. Chapter 5

      Mining for Misconfigured Machines in Grid Systems (pages 71–89)

      Noam Palatin, Arie Leizarowitz, Assaf Schuster and Ran Wolff

    6. Chapter 11

      Anteater: Service-Oriented Data Mining (pages 179–199)

      Renato A. Ferreira, Dorgival O. Guedes and Wagner Meira

    7. Chapter 12

      DMGA: A Generic Brokering-Based Data Mining Grid Architecture (pages 201–219)

      Alberto Sánchez, María S. Pérez, Pierre Gueant, José M. Peña and Pilar Herrero

    8. Chapter 13

      Grid-Based Data Mining With the Environmental Scenario Search Engine (ESSE) (pages 221–245)

      Mikhail Zhizhin, Alexey Poyda, Dmitry Mishin, Dmitry Medvedev, Eric Kihn and Vassily Lyutsarev

    9. You have free access to this content