000 03357cam a2200265 a 4500
008 090707s2008 njua b 001 0 eng
010 _a2008031720
020 _a9780470512586
035 _a(Sirsi) u1993
040 _aEG-CaNU
_cEG-CaNU
_dEG-CaNU
042 _ancode
082 0 0 _a004.36
_2 22
100 1 _aDubitzky, Werner,
_d 1958-
_93270
245 1 0 _aData mining techniques in grid computing environments /
_c Werner Dubitzky.
260 _aHoboken, NJ :
_b J. Wiley,
_c c2008.
300 _axxi, 266 p. :
_b ill. ;
_c 25 cm.
504 _aIncludes bibliographical references and index.
505 0 _a1. Data mining meets grid computing: time to dance (Alberto Sánchez, Jesús Montes, Werner Dubitzky, Julio J. Valdés, María S. Pérez and Pedro de Miguel). -- 2. Data analysis services in the Knowledge Grid (Eugenio Cesario, Antonio Congiusta, Domenico Talia and Paolo Trunfio). -- 3. GridMiner: an advanced support for e-science analytics (Peter Brezany, Ivan Janciak and A. Min Tjoa). -- 4. ADaM services: scientific data mining in the service-oriented architecture paradigm (Rahul Ramachandran, Sara Graves, John Rushing, Ken Keiser, Manil Maskey, Hong Lin and Helen Conover). -- 5. Mining for misconfigured machines in grid systems (Noam Palatin, Arie Leizarowitz, Assaf Schuster and Ran Wolff). -- 6. FAEHIM: Federated Analysis Environment for Heterogeneous Intelligent Mining (Ali Shaikh Ali and Omer F. Rana). --
505 0 _a 7. Scalable and privacy preserving distributed data analysis over a service-oriented platform (William K. Cheung). 8. Building and using analytical workflows in Discovery Net (Moustafa Ghanem, Vasa Curcin, Patrick Wendel and Yike Guo). -- 9. Building workflows that traverse the bioinformatics data landscape (Robert Stevens, Paul Fisher, Jun Zhao, Carole Goble and Andy Brass). -- 10. Specification of distributed data mining workflows with DataMiningGrid (Dennis Wegener and Michael May). -- 10. Specification of distributed data mining workflows with DataMiningGrid (Dennis Wegener and Michael May). -- 11. Anteater: service-oriented data mining (Renato A. Ferreira, Dorgival O. Guedes and Wagner Meira). --12. DMGA: a generic brokering-based data mining grid architecture (Alberto Sánchez, María S. Pérez, Pierre Gueant, José M. Peña and Pilar Herrero). -- 13. Grid-based data mining with the Environmental Scenario Search Engine (ESSE) (Mikhail Zhizhin, Alexey Poyda, Dmitry Mishin, Dmitry Medvedev, Eric Kihn and Vassily Lyutsarev). -- 14. Data pre-processing using OGSA-DAI (Martin Swain and Neil P. Chue Hong).
520 _aBased 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
630 _aData Mining
_91367
650 0 _aData mining.
_93271
650 0 _aComputational grids (Computer systems)
_9993
596 _a1
999 _c1079
_d1079