Data mining through neuro-fuzzy-genetic architecture

Author

Korakot Hemsathapat

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

© 2001 Korakot Hemsathapat, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Subject Headings

Data mining

Thesis Number

T 8012

Print OCLC #

54010218

Recommended Citation

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