Volume 6 Number 6 (Jun. 2011)
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JSW 2011 Vol.6(6): 953-960 ISSN: 1796-217X
doi: 10.4304/jsw.6.6.953-960

WS-DAI-DM: An Interface Specification for Data Mining in Grid Environments

Yan Zhang1, Luoming Meng2, Honghui Li1, Alexander Woehrer3, Peter Brezany3
1School of Computer and Information Technology, Beijing Jiaotong University, Beijing, P.R. China
2School of Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China
3Institute 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.

Index Terms—WS-DAI-DM, data mining access service, Open Grid Service Architecture, data mining interface specification, OGSA-DAI WS-DAI-DM


Cite: Yan Zhang, Luoming Meng, Honghui Li, Alexander Woehrer, 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.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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