CSCI 452 - Data Mining

Institution:

Millersville University of Pennsylvania

Subject:

Computer Science

Description:

An introduction to data mining, including data cleaning, the application of statistical and machine learning techniques to discover patterns in data, and the analysis of the quality and meaning of results. Machine learning topics may include algorithms for discovering association rules, classification, prediction, and clustering. Lab assignments provide practice applying specific techniques and analyzing results. An independent project provides students with the opportunity to guide a project from data selection and cleaning through to presentation of results.

Credits:

4.00

Credit Hours:

Prerequisites:

C- or higher in CSCI 366 and MATH 235 or 333 or 335.

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.millersville.edu

Phone Number:

(717) 872-3024

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Four-one-four plan

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