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CS 512 ONL - Data Mining Principles

Campus: Urbana-Champaign

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. Course Information: Prerequisite: CS 412.

Special Instructions:

Restricted to online graduate non-degree, online MCS, online MSME, online MSCEE, and online MSAE students. For more details on this course section, please see http://engineering.illinois.edu/online/courses/.

Academic Program Restrictions:

MENG:Mech Engineering Onl-UIUC MS: Aerospace Engr-Online-UIUC MS: Civil Engr - Online - UIUC MS:Mechanical Engineerng -UIUC NDEG:Grad Nondegree-CE-UIUC NDEG:Undergrad Nondeg-CE-UIUC MCS:Computer Sci Online -UIUC

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4 hr

Term(s): Spring

Contact(s):

CITL Online-Info 
Program Director
Phone: (217) 333-1462
E-mail: online-info@illinois.edu


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