The Application of Data Mining Technology (Based on literature review)

Abstract

Data mining technology is the process of taking out hidden information from the big database and facilitate decision making. The objective of this report is to show the applicability of Data mining technology by reviewing sample research works. The first research review is on ATM analysis, it is possible to reach the following conclusion, and the predictive data mining is helpful for analysis of ATM data in order to improve the quality of service that Banks provide to their customer. The second research review is on CRM in radiology center, it is possible to reach the following conclusion that data Mining techniques specifically K-means succeeded in clustering patients into a group according to the requested service. The third research review is on credit card fraud detection, and the research found out that neural network with Backpropagation algorithm combined with the genetic algorithm can play an important role in the task of credit card fraud detection. The fourth research review is on identifying false alarm for network Intrusion detection system, from the research, based on acceptable levels of false alarm rate, the decision tree is more suitable for modeling intrusion detection system which in turn shows the applicability of data mining. Finally, there is a discussion on the application of data mining techniques based on research findings and forward recommendations for upcoming researchers.