CSCI 577 - 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:
CSCI 510, CSCI 511

Credits: 4
Grade Mode: L

Sciences and Technology
Computer Science