CS 512

Spring 2011 All Classes

All Classes

Data Mining Principles

Credit: 4 hours.

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.

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CS 512 class schedule data for spring 2011
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	31604	Lecture-Discussion	F	9:30AM -10:45AM	TR	1109 Siebel Center for Comp Sci	Han, J	Part of Term: 1 Date Range: 01/18/11-05/04/11 Credit: 4 hours
	47139	Online	ONL	ARRANGED	n.a.	n.a.	Han, J Zhao, P	Part of Term: XM Date Range: 01/18/11-05/04/11 Section Fee: OCE Tuition $925.00 per Bill Hour, and OCE Fees $50.00 per Bill Hour. Section Info: Restricted to online non-degree, online MCS, and online MSME students. Academic Outreach restrictions and assessments apply, see http://www.outreach.uiuc.edu. For more details on this course section, please see http://online.engineering.illinois.edu/descriptions/spring2011.htm Restriction(s): Restricted to MCS:Computer Sci Online -UIUC, MS:Mechanical Engineerng -UIUC, or NDEG:Grad Nondegree-CE-UIUC.