CSCI 577 - Data Mining

Description
Techniques for extracting useful information from large data sets; attribute-value learning techniques (decision trees, association rules); relational mining techniques (inductive logic programming, efficient search of relational spaces); probabilistic techniques (Bayesian networks, conditional independence); statistical techniques; sampling strategies; applications in bioinformatics, personalization, information retrieval, web modeling, filtering, and text processing.
Credits
4
Recent Professors
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Recent Semesters
Spring 2019
Offered
MTuWF
Avg. Class Size
35
Avg. Sections
1