CISC 483 - Introduction to Data Mining

Credit(s): 3

INTRODUCTION TO DATA MINING
Component: Lecture
Concepts, techniques, and algorithms for mining large data sets to discover structural patterns that can be used to make subsequent predictions. Emphasis on practical approaches and empirical evaluation. Use of a workbench of data mining tools, such as the Weka toolkit.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

PREREQ: CISC 220, and MATH 205 or MATH 350. ANTIREQ: Students who received credit in CISC683 are not eligible to take this course without permission. RESTRICTIONS:

Course Typically Offered: Verify offering with Dept

General Education Objectives:
GE1B: Analyze Arguments and Information GE5A: Reason Quantitatively GE5B: Reason Computationally GE5C: Reason Scientifically