Indexed by:
Abstract:
Knowledge discovery in datasets integrated into Grids is a challenging research task. These large datasets are being collected and accumulated across a wide variety of fields, at a dramatic pace. They are often heterogeneous and geographically distributed and globally used by large user communities. In this paper, we proposed the scenario that deploys a grid-based parallel data mining service in the Globus 4 Framework and hosts within Jakarta-Tomcat as a container in detail, using OGSA-DAI for access to Grid Data Source. The work presented in this paper reveals specific requirement for applying grid-based data mining in the service-oriented grid environment.
Keyword:
Reprint 's Address:
Email:
Source :
DCABES 2006 Proceedings, Vols 1 and 2
Year: 2006
Page: 230-232
Language: English
Cited Count:
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 4
Affiliated Colleges: