Web Services Composition for Distributed Data Mining

Shaikh Ali, Ali, Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 and Taylor, Ian James ORCID: https://orcid.org/0000-0001-5040-0772 2005. Web Services Composition for Distributed Data Mining. Presented at: International Conference on Parallel Processing Workshops (2005 ICPP Workshops), Oslo, Norway, 14-17 June 2005. Published in: Skeie, T. and Yang, C.-S. eds. Proceedings of the 2005 International Conference on Parallel Processing Workshops (2005 ICPP Workshops). Los Alamitos, CA: IEEE, pp. 11-18. 10.1109/ICPPW.2005.87

Full text not available from this repository.

Abstract

A Web services-based toolkit for supporting distributed data mining is presented. A workflow engine is provided within the toolkit to enable a user to compose Web services to implement particular point solutions. Three types of Web services are provided to implement data mining functions: (1) classifiers; (2) clustering algorithms; and (3) association rules. Additional capability is made available through GNUPlot and Mathematica to enable visualisation of the output. Data sets may be read from the local filespace, or streamed from a remote location (provided the algorithm being used has support for streaming). A study is presented to illustrate the use of the toolkit.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Publisher:	IEEE
ISBN:	0769523811
Last Modified:	14 Dec 2022 03:12
URI:	https://orca.cardiff.ac.uk/id/eprint/43969

Citation Data

Cited 41 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item