Heterogeneous Data Mining Environment Based on DAM for Mobile Computing Environments

Abstract

Today 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 propose a novel DAM (Define Analyze Miner) Based data mining approach for mobile computing environments. In DAM approach, we first propose about the environment according to the requirement and need of the user where we define several different data sets, then DAM analyzer accept and analyze the data set and finally apply the appropriate mining by the DAM miner on the accepted dataset. It is achieved by CLDC and MIDP component of J2ME.