A multilayer data mining approach to an optimized Ebusiness analytics framework
Masoud Pesaran Behbahani, Islam Choudhury, Souheil A. Khaddaj · Research Repository (Kingston University London) · 2011
Abstract. The aim of this paper is to introduce a new methodology for providing high level of business intelligence and optimization strategies for enterprises. The paper proposes a new optimized Ebusiness Analytical Framework (EBAF) and shows how the proposed business-oriented multilayer data mining methodology can be used in developing the framework. EBAF will serve as a practice blueprint for any Small Medium Enterprise (SME) wishing to enhance its customer relationship management and lead generation, and will give competitive advantages to SMEs that utilize this framework. EBAF presents a conversion model as a template for wide range of business models to create layers of required mining structures. The resulted multilayer mining structures will be served as the platform for applying the associated mining models.