Data Mining

3 Credits

Overview of modern data mining techniques: data cleaning; attribute and subset selection; model construction, evaluation and application. Fundamental mathematics and algorithms for decision trees, covering algorithms, association mining, statistical modeling, linear models, neural networks, instance-based learning and clustering covered. Practical design, implementation, application, and evaluation of data mining techniques in class projects. Credit will not be given for both CSE 347 and CSE 447 . Prerequisites: CSE 017 and ( CSE 160 or CSE 326 ) and ( MATH 231 or MATH 205 or MATH 241 or MATH 242 or ECO 045 or ISE 121 ) Attribute/Distribution: Q