Webservices oriented data mining in knowledge ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Webservices oriented data mining in knowledge architecture.
Author(s) :
Olejnik, Richard [Auteur]
Contributions of the Data parallelism to real time [DART]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Fortis, Teodor-Florin [Auteur]
Toursel, Bernard [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]

Contributions of the Data parallelism to real time [DART]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Fortis, Teodor-Florin [Auteur]
Toursel, Bernard [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Journal title :
Future Generation Computer Systems
Pages :
pp 436-443
Publisher :
Elsevier
Publication date :
2008-10-08
ISSN :
0167-739X
English keyword(s) :
Grid technology
Software architecture
Data mining
Service oriented architecture (SOA)
Workflows
Software architecture
Data mining
Service oriented architecture (SOA)
Workflows
HAL domain(s) :
Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
Informatique [cs]/Génie logiciel [cs.SE]
Informatique [cs]/Génie logiciel [cs.SE]
English abstract : [en]
Massive parallelism is required for an efficient solution to data mining tasks, considering the proliferation of data and the need for high computational effort. The DisDaMin (Distributed Data Mining) project addressed ...
Show more >Massive parallelism is required for an efficient solution to data mining tasks, considering the proliferation of data and the need for high computational effort. The DisDaMin (Distributed Data Mining) project addressed distributed discovery and knowledge discovery through parallelization of data mining tasks. DisDaMin algorithms are based on the DG-ADAJ (Desktop-Grid Adaptive Application in Java), a middleware platform for Desktop Grid used as a deployment mechanism for DisDaMin algorithms. On the top of DG-ADAJ, SOA specific components could be employed to provide additional features and to improve current operation. An ESB (Enterprise Service Bus) built on the top of DG-ADAJ is going to provide improved availability, solve interoperability issues by exposing services through well established interfaces, and offer a loosely coupled infrastructure. An additional enactment layer is going to improve the performance of intelligent fragmentation of data, offering at the same time the necessary support for the execution of data workflows.Show less >
Show more >Massive parallelism is required for an efficient solution to data mining tasks, considering the proliferation of data and the need for high computational effort. The DisDaMin (Distributed Data Mining) project addressed distributed discovery and knowledge discovery through parallelization of data mining tasks. DisDaMin algorithms are based on the DG-ADAJ (Desktop-Grid Adaptive Application in Java), a middleware platform for Desktop Grid used as a deployment mechanism for DisDaMin algorithms. On the top of DG-ADAJ, SOA specific components could be employed to provide additional features and to improve current operation. An ESB (Enterprise Service Bus) built on the top of DG-ADAJ is going to provide improved availability, solve interoperability issues by exposing services through well established interfaces, and offer a loosely coupled infrastructure. An additional enactment layer is going to improve the performance of intelligent fragmentation of data, offering at the same time the necessary support for the execution of data workflows.Show less >
Language :
Anglais
Popular science :
Non
Collections :
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