COMPSCI 425 - Introduction to Data Mining. U G

Institution:

University of Wisconsin-Milwaukee

Subject:

Description:

Algorithms for uncovering useful information from data. Topics include data exploration, association rules, clustering, supervised learning, and mining structured data (e.g., sequences or graphs) Counts as repeat of CompSci 657 with same topic. Prereq: jr st; CompSci 251(P), Math 221(P) or Math 232(P)

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Multiple

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uwm.edu

Phone Number:

(414) 229-1122

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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