DSES 6180 - Knowledge Discovery with Data Mining

Institution:

Roberts Wesleyan University

Subject:

Description:

Data mining is the computationally intelligent extraction of information from large databases. It is the process of automated presentation of patterns, rules, and functions from large data bases to make crucial business decisions. This course takes a multi-disciplinary approach to data mining and knowledge discovery involving statistics, rule and tree induction, neural networks, genetic algorithms, visualization and fuzzy logic. The course is project driven and puts a special emphasis on the use of computational intelligence for scientific data mining related to drug design and bioinformatics. Prerequisites/Corequisites: Prerequisite: ENGR 2600 or equivalent introductory course in statistics. When Offered: Spring term annually. Credit Hours: 3

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.Roberts.edu

Phone Number:

(585) 594-6000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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