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CS 512 Data Mining Principles
Credit: 4 hours.
Advanced course on principles and algorithms of data mining. Topics include 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; and research frontiers. Prerequisite: CS 412 or consent of instructor.
Section Information
| CRN | Type | Section | Time | Days | Location | Instructor |
| 31604 | lecture- discussion | F | 09:30 AM - 10:45 AM | TR | room 1302 Siebel Center for Comp Sci | Han, J |
4 hours
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