doi: 10.4304/jsw.6.6.953-960
WS-DAI-DM: An Interface Specification for Data Mining in Grid Environments
- 1 School of Computer and Information Technology, Beijing Jiaotong University, Beijing, P.R. China
- 2 School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China
- 3 Institute of Scientific Computing, University of Vienna, Vienna, Austria
Abstract
Providing the appropriate access means for data mining services in Grid Environment is principal for combination of Grid and data mining. The transition from centralized data mining process as they are in traditional tools to Grid-compliant and Grid-based data mining services that can coordinate with each other is important to extract useful and potential knowledge/patterns from distributed data resources. But, data mining process has not been integrated with the current Grid architecture, and there are no related specifications or standards available within the Grid community for handling it. The work discusses the interface specification WS-DAI-DM and related issues of providing the consistent web service interfaces to mine meaningful and hidden information/patterns from distributed data resources in Grid environments. WS-DAI-DM can facilitate using data mining tools and developing data mining applications. The proposed specification idea is partially implemented in the feasibility study and we give an application scenario about how users can access data mining services in Grid environments conveniently via the proposed mechanism.
Keywords
- WS-DAI-DM
- data mining access service
- O
How to Cite
Yan Zhang, Luoming Meng, Honghui Li, Alexander Woehrer, and Peter Brezany, "WS-DAI-DM: An Interface Specification for Data Mining in Grid Environments," Journal of Software, vol. 6, no. 6, pp. 953-960, 2011. https://doi.org/ 10.4304/jsw.6.6.953-960
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).