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Detailed Course Information

 

Spring 2015
Nov 03, 2024
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CS 57300 - Data Mining
Credit Hours: 3.00. (CSCI 57300) Data Mining has emerged at the confluence of artificial intelligence, statistics, and databases as a technique for automatically discovering summary knowledge in large datasets. This course introduces students to the process and main techniques in data mining, including classification, clustering, and pattern mining approaches. Data mining systems and applications are also covered, along with selected topics in current research. Offered in alternate years. Typically offered Fall.
3.000 Credit hours

Levels: Undergraduate, Graduate, Professional
Schedule Types: Distance Learning, Lecture
All Sections for this Course

Offered By: College of Science
Department: Computer Science

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette Continuing Ed
      West Lafayette


Restrictions:
Must be enrolled in one of the following Programs:     
      Statistics-PHD
      Statistics-MS
      Computer Science-MS
      Computer Science-PHD

Prerequisites:
GR-CS 57300 Requisites

General Requirements:
Course or Test: CS 38100
Minimum Grade of D-
May not be taken concurrently.
and
Course or Test: STAT 51600
Minimum Grade of D-
May not be taken concurrently.  )
or

Student Attribute: GR
May not be taken concurrently. )


Short Title: Data Mining

Course Configurations:

Configuration 1: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Lecture 3 3.0
Configuration 2: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Distance Learning 0 3.0

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