CSE 4334 - DATA MINING

Institution:

The University of Texas at Arlington

Subject:

Computer Science & Engineering

Description:

Automatic discovery of patterns and knowledge from large data repositories, including databases, data warehouses, Web, document collections, and transactions. Basic topics of data mining including data preprocessing, data warehousing and online analytical processing (OLAP), data cube, frequent pattern and association rule mining, correlation analysis, classification and prediction and clustering, as well as advanced topics covering the techniques and applications of data mining on Web and text documents. Prerequisite: CSE 3330 and IE 3301 (or MATH 3313).

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.UTA.EDU

Phone Number:

(817) 272-2011

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Four-one-four plan

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