CSCI 442 - Data Mining

(4 hours) Prerequisites: CSCI 419 and MATH 213. This course examines the use of database systems for knowledge discovery or data mining. Data mining refers to the ‘mining’ or discovery of information in terms of patterns or rules, generally over vast amounts of data. In this course we will cover the statistical underpinnings of data mining, including clustering, association rules, and classification rules. We will also look at Bayesian techniques, neural networks, and genetic algorithms. This knowledge will be applied to several data sets. Students will also participate in a semester long project involving the application of data mining, using either R Code or the SAS software package.