Exploiting Need of Heterogeneous Data Mining Environment Based on Mobile Computing Environments

Abstract

the concept of Data Mining services is not alone sufficient. Data mining services play an important role in the field of Communication industry. Data mining is also called knowledge discovery in several database including mobile databases and for heterogeneous environment. In this paper, we discuss and analyze the consumptive behavior based on data mining technology. We discuss and analyze different aspects of data mining techniques and their behavior in mobile devices. We also analyze the better method or rule of data mining services which is more suitable for mobile devices. In this paper, we survey several aspects of open service framework based on grid structure which provides the heterogeneous environment for data mining on mobile computing environments. discovering frequent user's behavior patterns in the mobile agent system have been studied extensively in recent years. The key feature in most of these algorithms is that they use a dataset and frequent Item-Sets visited by the customers. In this case, some problems occur because they do not consider that mobile user's behavior patterns are dynamically variable as time passes. In this paper we discuss some of the data mining service which are use in different areas and then apply those services to mobile devices and then apply those DMS services in mobile computing and exploiting the need of DMS in mobile computing environments using CLDC and MIDP components. The Connected, Limited Device Configuration (CLDC) and the Mobile Information Device Profile (MIDP) have emerged as J2ME standards for mobile phone applications development which are used with DMS services. The role of CLDC and MIDP component is to apply Data Mining Services in mobile. Data Mining Services are useful in several sectors including Mobile, WWW, HealthCare scenario etc. We discuss several aspects step-by-step in this paper and analyze those aspects and approaches sequentially. Discuss their advantages and disadvantages and conclude with new concept.