University of California, Los Angeles 4 credits Computer Science
Lecture, four hours; discussion, two hours; outside study, six hours. Enforced requisite: course 32. Introduction of basic concepts, algorithms, and techniques of data mining on different types of datasets including vector data, set data, sequence data, text data, and graph data. Hands-on project involving practice of mining useful knowledge from large data sets. Letter grading.
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