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CSCI 577: Data Mining

Computer Science · 4 credits

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.

Offered in 1 of the 26 listed terms (Spring 2023).

Prerequisites

CSCI 510 and CSCI 511

Prerequisite tree

Each course's own prerequisites, down to the first courses in the chain.

From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

Required by (0)

No course lists it as a prerequisite.

Syllabi and course websites

None listed yet.

Instructors

InstructorSectionsTerms
Hearne, James1Spring 2023

Every offering in the listed terms (1 section)

TermSecCRNTypeMeetsInstructorEnrolledDelivery
Spring 2023024010LectureTR 2:00pm-3:40pm · ES 413Hearne, James17/15Face to Face Instruction