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

Author

Listed:
  • Nadjib Mesbahi

    (Smart Computer Science Laboratory, University of Biskra, Biskra, Algeria)

  • Okba Kazar

    (Smart Computer Science Laboratory, University of Biskra, Biskra, Algeria)

  • Saber Benharzallah

    (Smart Computer Science Laboratory, University of Biskra, Biskra, Algeria)

  • Merouane Zoubeidi

    (Smart Computer Science Laboratory, University of Biskra, Biskra, Algeria)

  • Samir Bourekkache

    (Smart Computer Science Laboratory, University of Biskra, Biskra, Algeria)

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.

Suggested Citation

  • Nadjib Mesbahi & Okba Kazar & Saber Benharzallah & Merouane Zoubeidi & Samir Bourekkache, 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), IGI Global, vol. 7(2), pages 1-14, April.
    • Handle: RePEc:igg:jdsst0:v:7:y:2015:i:2:p:1-14
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