doi: 10.7763/IJIMT.2012.V3.304
Enhancing Organizational Performance through a New Proactive Multilayer Data Mining Methodology: An Ecommerce Case Study
Masoud Pesaran Behbahani
,
Islam Choudhury ,
Souheil Khaddaj
- a joint program conducted by 1. AzadUniversity (IR) in Oxford, Oxford, Uk, 2. the School of Computing and Information Systems, Kingston University London, UK, 3. Islamic AzadUniversity, Khorasgan Branch.
Abstract
Recent technical achievements in data storage and database management systems have opened windows of opportunities for developing novel optimizing strategies for all kinds of organizations. This paper introduces a new proactive methodology to enhance organizational performance based on data mining approach. Data mining is a business process for exploring large amounts of data to discover meaningful patterns and rules. The proposed methodology focuses one business activities and using a multilayer data mining approach, provides high level of business intelligence for enterprises that utilize ecommerce as their main transactional model. The paper introduces a conversion model as a part of the methodology to serve as a template for wide range of ebusiness models. This conversion model is used to create distinct layers of data mining structures that are required by the methodology. These mining structures will act as the platform for applying the multilayer data mining models.
Keywords
- Business Intelligence
- Data Mining
- Ebusiness
- Ecommerce
How to Cite
Masoud Pesaran Behbahani, Islam Choudhury, and Souheil Khaddaj, "Enhancing Organizational Performance through a New Proactive Multilayer Data Mining Methodology: An Ecommerce Case Study," International Journal of Innovation, Management and Technology, vol. 3, no. 5, pp. 600-607, 2012. https://doi.org/10.7763/IJIMT.2012.V3.304
Copyright & License
Copyright © 2012 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).