CS 512 - Data Mining Principles

Institution:

University of Illinois at Urbana-Champaign

Subject:

Description:

An advanced course on principles and algorithms of data mining. Data cleaning and integration; descriptive and predictive mining; mining frequent, sequential, and structured patterns; clustering, outlier analysis and fraud detection; stream data, web, text, and biomedical data mining; security and privacy in data mining; research frontiers. Prerequisite: CS 412.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.illinois.edu/

Phone Number:

(217) 333-1000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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