Applied Data Mining

3 Credits

Introduction to the data mining process including business problem understanding, data understanding and preparation, modeling and evaluation, and model deployment. Emphasis on hands-on data preparation and modeling using techniques from statistics, artificial intelligence, such as regression, decision trees, neural networks, and clustering. A number of application areas are explored. This course is an undergraduate version of ISE 465 . A student cannot receive credit for both ISE 365 and ISE 465 . Prerequisites: ISE 121 or ISE 304