I. INTRODUCTIONIn today's world, the amount of stored information is increasing significantly day by day, so discovering patterns and trends from big data is a great challenge. Managing and extracting useful information is becoming a problem for many fields such as businesses, government funding agencies, universities, research institutes and technology-intensive companies. Data mining provides a solution to this problem.A. Data MiningData mining emerged in 1980 to create useful information. Data mining is used to extract useful patterns and previously unknown trends from large databases. The general goal of the data mining process is to extract information from a set of data and transform it into an understandable structure for further use. Data mining involves various techniques such as classification, clustering, decision trees, neural networks, etc. Applications of data mining are text mining and website mining. In the data mining process, before applying any technique, data preprocessing is required, this is part of the knowledge discovery process (KDD). T...