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ECON 426

Knowledge Discovery and Data Mining

University of California, Los Angeles 4 credits Economics

Course Description

Lecture, three hours; discussion, one hour. Limited to Master of Applied Economics students. Study of theoretical and practical techniques in field of data mining and knowledge discovery. Topics include data processing, association rules, supervised learning, clustering, etc., and their applications in visualization, social network analysis, sentiment mining, and opinion analysis. Focus on making sense of large-scale or web-scale dataset, and providing students with first-hand project experiences. Letter grading.

Code
ECON 426
Credits
4
Subject
Economics

Programs That Include This Course

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