The emergence of ASP hosting Grid based data mining services is being seen as a novel and feasible solution for organizations that value their knowledge resources but are constrained by the high cost of knowledge discover tools. In this paper, we present a novel E-service delivery pattern for the Grid based data mining services. This pattern has several strong suits than the present methods for delivering data mining services such as supporting clients with many kinds of choices, especially the choice of the ASP. We have developed tools to support the E-service delivery pattern. The detailed information is including: the preferences of tasks, the functionality of ASP and the information of data resource and computation resources to run the application. We have realized the map function to match the requirement of client, the capability of resource and ASP. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Liu, M. (2008). E-service delivery pattern for knowledge discovery grid. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5178 LNAI, pp. 313–317). Springer Verlag. https://doi.org/10.1007/978-3-540-85565-1_39
Mendeley helps you to discover research relevant for your work.