I. INTRODUCTION In today's world the amount of information stored increases enormously day by day, so discovering patterns and trends from huge data is a big challenge. Managing and extracting useful information becomes a problem for many industries such as businesses, government funding bodies, universities, research institutes and technology-intensive companies. Data mining provides a solution to this problem.A. Data Mining Data mining emerged in the 1980s to create useful information. Data mining is used to extract useful patterns and previously unknown trends from large databases. The overall goal of the data mining process is to extract information from a dataset and transform it into an understandable structure for further use. Data mining uses various techniques such as classification, clustering, decision trees, neural networks, etc. The applications of data mining are text mining and web mining. In data mining process, data pre-processing is required before applying any technique, this is the knowledge discovery (KDD) part of the process. T...