A Hybrid heuristic-exhaustive search approach for rule extraction

A Hybrid heuristic-exhaustive search approach for rule extraction

The topic of this thesis is knowledge discovery and artificial intelligence based knowledge discovery algorithms. The knowledge discovery process and associated problems are discussed, followed by an overview of three classes of artificial intelligence based knowledge discovery algorithms. Typical r...

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Bibliographic Details
Main Author: Rodic, Daniel
Other Authors: Engelbrecht, Andries P.
Published: 2013
Subjects:
Hybrid classifier system
Artificial intelligence
Data mining algorithms
Hcs
Automated knowledge
UCTD
Online Access:http://hdl.handle.net/2263/25095
Rodic, D 2000, A hybrid heuristic-exhaustive search approach for rule extraction, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/25095 >
http://upetd.up.ac.za/thesis/available/etd-05292006-110006/

Internet

http://hdl.handle.net/2263/25095
Rodic, D 2000, A hybrid heuristic-exhaustive search approach for rule extraction, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/25095 >
http://upetd.up.ac.za/thesis/available/etd-05292006-110006/

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