An Architecture of Intelligent Cloud Data Mining Platform for Optimization of Cloud Based Business Intelligence

Abstract

These days, business processing, data handling, data/information distributing and extracting new pattern or knowledge are more challenging than ever. The problems are experienced on heterogeneity, voluminous, contents and dynamic nature of data towards users’ desires, which demanded efficient and advanced tools and infrastructures to the success and doing business as the nature of the domain. In this paper, we proposed Intelligent Cloud Data Mining (ICDM) approach to optimize Cloud Based Business Intelligence (CBBI) as a service to overcome the challenges of large business data handling and distributions, and exploration and knowing the nature as the business system by considering business dynamism and intelligent cloud systems. The need of ICDM is to support the data cloud integrated to CC involving the dynamic nature of DM techniques and tasks, which empower users’ understandability, system scalability and adaptability within BI as a service. The ICDM technology for CBBI is a systematic approach to provide the principle of technology, proper implementation process, and defining and limiting the key issues of business development prospects. Therefore, the outcome of this paper is to realize and accessing data/information to optimize business decision process and business success, which could be applicable across the fields within the context of business environments. Furthermore, ICDM based CBBI approach is a fundamental and technological demanding direction of future generations of business cloud systems.