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Multi-Agents Approach for Data Mining Based k-Means for Improving the Decision Process in the ERP Systems

Multi-Agents Approach for Data Mining Based k-Means for Improving the Decision Process in the ERP Systems

Nadjib Mesbahi, Okba Kazar, Saber Benharzallah, Merouane Zoubeidi, Samir Bourekkache
Copyright: © 2015 |Volume: 7 |Issue: 2 |Pages: 14
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781466677227|DOI: 10.4018/IJDSST.2015040101
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MLA

Mesbahi, Nadjib, et al. "Multi-Agents Approach for Data Mining Based k-Means for Improving the Decision Process in the ERP Systems." IJDSST vol.7, no.2 2015: pp.1-14. http://doi.org/10.4018/IJDSST.2015040101

APA

Mesbahi, N., Kazar, O., Benharzallah, S., Zoubeidi, M., & Bourekkache, S. (2015). Multi-Agents Approach for Data Mining Based k-Means for Improving the Decision Process in the ERP Systems. International Journal of Decision Support System Technology (IJDSST), 7(2), 1-14. http://doi.org/10.4018/IJDSST.2015040101

Chicago

Mesbahi, Nadjib, et al. "Multi-Agents Approach for Data Mining Based k-Means for Improving the Decision Process in the ERP Systems," International Journal of Decision Support System Technology (IJDSST) 7, no.2: 1-14. http://doi.org/10.4018/IJDSST.2015040101

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Abstract

Today the enterprise resource planning (ERP) became a tool that enables uniform and consistent management of information system (IS) of the company with a large single database. In addition, Data Mining is a technology whose purpose is to promote information and knowledge extraction from a large database. In this paper, an agent-based multi-layered approach for data mining based k-Means through the ERP to extract hidden knowledge in the ERP database is proposed. To achieve this, the authors call the paradigm of multi-agent system to distribute the complexity of several autonomous entities called agents, whose goal is to group records or observations on similar objects classes using the k-means technique that is dedicated the task of clustering. This will help business decision-makers to take good decisions and provide a very good response time by the use of multi-agent system. To implement the proposed architecture, it is more convenient to use the JADE platform while providing a complete set of services and agents comply with the specifications FIPA.

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