Doctoral Dissertations

Data mining through neuro-fuzzy-genetic architecture

Abstract

"This study introduces a neuro-fuzzy-genetic data mining architecture, which discovers patterns and represents them in understandable forms. It is an attempt to combine computational intelligence tools: neural netoworks, fuzzy logic, and genetic algorithms to data mining problems"--Abstract, page iii.

Department(s)

Engineering Management and Systems Engineering

Degree Name

Ph. D. in Engineering Management

Comments

System requirements for accompanying CD-ROM: IBM compatible computer with Microsoft Word, Excel, and Access; CPU speed: 1 GHz or higher; Memory: 1 gb.

Publisher

University of Missouri--Rolla

Publication Date

Fall 2001

Pagination

ix, 242 pages

Note about bibliography

Includes bibliographical references (pages 233-241).

Rights

Document Type

Dissertation - Citation

File Type

text

Language

English

Subject Headings

Data mining

Thesis Number

T 8012

Print OCLC #

54010218

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://merlin.lib.umsystem.edu/record=b5041320~S5~S5

Recommended Citation

Hemsathapat, Korakot, "Data mining through neuro-fuzzy-genetic architecture" (2001). Doctoral Dissertations. 1485.
https://scholarsmine.mst.edu/doctoral_dissertations/1485

This document is currently not available here.

Share My Dissertation If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.

COinS