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.
Index Terms— Business Intelligence, Data Mining, Ebusiness,Ecommerce.
Masoud P. Behbahani is with 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 (e-mail: Masoud@ Kingston.ac.uk).
Islam Choudhury is with the School of Computing and Information Systems, Kingston University London, UK (e-mail: I.Choudhury@Kingston.ac.uk).
Souheil Khaddaj is with the School of Computing and Information Systems, Kingston University London, UK (e-mail: S.Khaddaj@Kingston.ac.uk).
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.