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2016-17

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CSE 469LEC Introduction to Data Mining
Computer Science & Engineering

This course introduces fundamental techniques in data mining, i.e., the techniques that extract useful knowledge from a large amount of data. Topics include data preprocessing, exploratory data analysis, association rule mining, clustering, classification and anomaly detection. Students are expected to gain the skills to formulate data mining problems, solve the problems using data mining techniques and interpret the output.

Credits: 3
Semester(s) Typically Offered: Fall, Spring, Summer
Grading: Graded (GRD)
Pre-Requisites: CSE 250 and MTH 411 or EAS 305 or STA 301 or MTH 309 and CS, CSE, and Bioinformatics majors only


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