Mar 28, 2024  
2021-2022 Undergraduate Catalog 
    
2021-2022 Undergraduate Catalog [ARCHIVED CATALOG]

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 
Course Typically Offered: Verify offering with Dept.
General Education Objectives:
GE1B: Analyze Arguments and Information GE5A: Reason Quantitatively GE5B: Reason Computationally GE5C: Reason Scientifically