CSCI 477 - Data Mining

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.

Prerequisites & Notes: MATH 204, MATH 341 and CSCI 241
Credits: 4
Grade Mode: Letter