Abstract
The transition from centralized data mining process as they are in traditional tools to Grid-based data mining services that can coordinate with each other is crucial to mine useful knowledge from distributed data resources. So far, data mining process has not been integrated with the current Grid architecture, and how to extract knowledge from distributed data resources managed by Grid platform is still a challenge for many data mining applications. This paper presents a data mining middleware that extends OGSA-DAI to extract knowledge from distributed data sources, and we call it OGSA-DAI-DM, which aims to be one of reference implementations for the coming WS-DAI-DM interface specification. Several OGSA-DAI activities and workflows for handling association rules and sequential patterns mining are implemented.
Keywords
- OGSA-DAI-DM
- data mining middleware
- OGSA-based system
- OGSA-DAI
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Open Grid Services Architecture - Database Access and Integration (OGSA-DAI), http://www.ogsadai.org.uk/
Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules between Sets of Items in Large Databases. In: SIGMOD 1993: Proceedings of The 1993 ACM SIGMOD International Conference on Management of Data, New York, NY, USA, pp. 207–216 (1993)
Antonioletti, M., Atkinson, M., Krause, A., et al.: Web Services Data Access and Integration - The Core (WS-DAI) Specification, Version 1.0 (July 2006)
Atkinson, M.P., Van Hemert, J.I., Han, L., et al.: A Distributed Architecture for Data Mining and Integration. In: DADC 2009: Proceedings of the Second International Workshop on Data-Aware Distributed Computing, New York, NY, USA, pp. 11–20 (2009)
Cannataro, M., Congiusta, A., Mastroianni, C., et al.: Grid-Based Data Mining and Knowledge Discovery. In: Zhong, N., Liu, J. (eds.) Intelligent Technologies for Information Analysis, pp. 19–45. Springer, Heidelberg (2004)
Cannataro, M., Talia, D., Trunfio, P.: Distributed Data Mining on the Grid. Future Generation Computer Systems 18(8), 1101–1112 (2002)
Foster, I., Kesselman, C., Nick, J.M., Tuecke, S.: Grid Services for Distributed System Integration. Computer 35, 37–46 (2002)
Han, J., Kamber, M.: Data Mining: Concepts and Techniques, 2nd edn. Morgan Kaufmann Publishers, San Francisco (2006)
Kesselman, C., Foster, I.: The Grid: Blueprint for a New Computing Infrastructure, 2nd edn. Morgan Kaufmann Publishers, San Francisco (2004)
Kojima, I.: Design and Implementation of OGSA-DAI-RDF. In: GGF16 Semantic Grid Workshop (2006)
Kojima, I., Pahlevi, S.M.: Design And Implementation of OGSA-DAI-Webdb - A Service-Based System for Making Existing Web Databases Grid-Ready. In: GGF10 Workshop (2004)
Pahlevi, S.M., Kojima, I.: OGSA-Webdb: An OGSA-Based System for Bringing Web Databases into the Grid, vol. 2, pp. 105–109 (April 2004)
Stankovski, V., Swain, M., Kravtsov, V., et al.: Grid-Enabling Data Mining Applications with Datamininggrid: An Architectural Perspective. Future Generation Computer Systems 24(4), 259–279 (2008)
Talia, D., Trunfio, P., Verta, O.: Weka4WS: A WSRF-enabled weka toolkit for distributed data mining on grids. In: Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol. 3721, pp. 309–320. Springer, Heidelberg (2005)
Zhang, Y., Woehrer, A., Brezany, P.: Towards China’s Railway Freight Transportation Information Grid. In: MIPRO 2009: Proc. of the 32nd International Convention Information and Communication Technology, Electronics and Microelectroincs, Opatija, Croatia (2009)
Zhang, Y., Woehrer, A., Brezany, P.: Web Services Data Access and Integration – The Data Mining Realization (WS-DAI-DM) Specification (Internal), Version 1.1 (October 2009)
Zou, X.: High Level Support for Distributed Computation in Weka. Master’s Thesis, the University College Dublin, Ireland (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, Y., Li, H., Dai, G. (2011). The Design and Implementation of OGSA-DAI-DM. In: Yu, Y., Yu, Z., Zhao, J. (eds) Computer Science for Environmental Engineering and EcoInformatics. CSEEE 2011. Communications in Computer and Information Science, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22694-6_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-22694-6_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22693-9
Online ISBN: 978-3-642-22694-6
eBook Packages: Computer ScienceComputer Science (R0)