Intelligent Data Analysis with Data Mining

Intelligent data analysis (IDA) works to transform raw data into information through the use of extensive background knowledge of specific domains from the past and utilizes it to solve the problems of present. It works on a result‐driven approach as it emphasizes finding a solution to the problem using a closed loop of gathering data, creating an exhaustive knowledge base and comprehensive analysis of it. Meanwhile, data mining is only a part of it that uses a preprocessed and transformed data to find out specific patterns within the data. While data mining has various applications in the field of health care, education, market‐based analysis, customer relationship management, fraud detection, etc., it becomes more significant when it is used along with intelligent data analysis as its subpart. In this chapter, we will discuss the process of data mining along with the issues related to it. We will also have a look on the various methods of data mining: classification, cluster analysis, and decision tree induction. This chapter will conclude with a view of data visualization.