Towards an Open Service Architecture for Data Mining on the Grid

Authors:
Peter Brezany;Jürgen Hofer;Alexander Wöhrer;A Min Tjoa
Affiliations:
-;-;-;-
Venue:
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Year:
2003

Citing 0
Cited 5

Knowledge grid support for treatment of traumatic brain injury victims

ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
An overlay network for autonomous information discovery in the post-composition registries of ambient networks

Journal of Network and Computer Applications
Weka4WS: a WSRF-enabled weka toolkit for distributed data mining on grids

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
A framework and survey of knowledge discovery services on the OGSA-DAI

APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
WSRF services for composing distributed data mining applications on grids: functionality and performance

ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I

Quantified Score

Hi-index	0.02

Visualization

Abstract

Across a wide variety of fields, huge datasets are beingcollected and accumulated at a dramatical pace. Thedatasets addressed by individual applications are very oftenheterogeneous and geographically distributed, and areused for collaboration by the communities of users, whichare often large and also geographically distributed. Thereare major challenges involved in the efficient and reliablestorage, fast processing, and extracting descriptive and predictiveknowledge from this great mass of data. In this paper,we describe design principles and a service based softwarearchitecture of a novel infrastructure for distributedand high-performance data mining in Grid environments.