Perspectives on Mass Storage Based on Data Mining and Cloud Computing

This paper deals with the study of how data mining is used in cloud computing. Data Mining is a process of extracting potentially useful information from raw data. State of the art research in data mining is focusing on loosely distributed regionalized large scale databases using cloud computing for business applications. Cloud computing poses a diversity of challenges in data mining operation arising out of the dynamic structure of data distribution as against the use of typical database scenarios in conventional architecture. The integration of data mining techniques into normal day-to-day activities has become common place. We are confronted daily with targeted advertising, and businesses have become more efficient through the use of data mining activities to reduce costs. Data mining applications can derive much demographic information concerning customers that was previously not known or hidden in the data. We have recently seen an increase in data mining techniques targeted to such applications as fraud detection, identifying criminal suspects, and prediction of potential terrorists. By and large, Cloud computing is an elastic computing model that the users can lease the resources from the rentable infrastructure. Cloud computing is gaining popularity due to its lower cost, high reliability and huge availability .To utilize the powerful and huge capability of cloud computing mining systems that have been developed .