Data mining has gained interest among business practitioners in a variety of fields. Almost every organization collects data, which
can be analyzed to support making better decisions and improving policies.
Electronic data capture has become inexpensive and ubiquitous due to innovations such as the internet, e-commerce, point-of-sale devices. As a result, data mining is a rapidly growing field concerned with developing techniques to assist managers in making intelligent use of these repositories. The area of data mining has evolved from the disciplines of statistics and artificial intelligence.
This course will examine data mining methods and provide an opportunity for hands-on exercises with algorithms for data mining using R-language software and cases.