CS 512
Spring 2017 Part of Term 1
Part of Term 1
Jan 17-May 3
Jan 17-May 3
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.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
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31604
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Lecture-Discussion
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F
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9:30AM
-10:45AM
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TR
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Siebel Center for Comp Sci
|
Han, J
|
|
|
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47139
|
Online
|
ONL
|
ARRANGED
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n.a.
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n.a.
|
Han, J
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