Skip to the content

Viability of implementing data mining algorithms as a web service

Stent, C, Howard, N, Saraee, M and Thompson, E 2005, Viability of implementing data mining algorithms as a web service , in: International Symposium on Web Services and Applications, 20-23 June 2005, Las Vegas, USA.

PDF - Accepted Version
Download (57kB) | Preview
[img] Microsoft Word - Accepted Version
Restricted to Repository staff only

Download (65kB) | Request a copy


This paper describes an experiment into the viability of implementing data mining algorithms within a W3C standards compliant web service. The experiment shows that it can be done by the successful deployment of a prototype based on an implementation of the K-means clustering algorithm. The prototype produced demonstrates how the concept of a data-mining web-service can be a reliable and effective data-mining tool especially in environments where raw processing power is a valuable commodity. The slim-client to fat-server model is demonstrated effectively showing how a user armed with a simple web browser can potentially harness super computing power. In addition the foundation for the development of an advanced data-mining framework is presented which can include the implementation of any number of data mining techniques. The paper also seeks to highlight some ideas for future research and development of more sophisticate web services that are more scalable to suit both very specific tasks and very large datasets

Item Type: Conference or Workshop Item (Paper)
Themes: Media, Digital Technology and the Creative Economy
Schools: Schools > College of Science & Technology > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
Journal or Publication Title: Proceedings of The 2005 International Symposium on Web Services and Applications, ISWS 2005, Las Vegas, Nevada, USA, June 27-30, 2005},
Publisher: CSREA Press
Refereed: Yes
Related URLs:
Depositing User: Dr Mo Saraee
Date Deposited: 26 Oct 2011 11:19
Last Modified: 29 Oct 2015 00:12

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)


Downloads per month over past year