CSC 4810 - Data Mining

Institution:

University of North Carolina at Pembroke

Subject:

Description:

This course covers the principles underlying data mining algorithms and their applications. Algorithms that include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local "memory-based"models are presented and examined. Examples showing how all of the preceding analysis fits together are presented. Topics include the role of metadata, how to handle missing data, and data preprocessing. Credit, 3 semester hours. PREREQ: CSC 3800.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uncp.edu

Phone Number:

(910) 521-6000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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