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Nov 25, 2024
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2019-2020 Undergraduate Catalog [ARCHIVED CATALOG]
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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: Fall
General Education Objectives:
GE1B: Analyze Arguments and Information GE5A: Reason Quantitatively GE5B: Reason Computationally GE5C: Reason Scientifically
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