Date of Award


Degree Type


Degree Name


Degree Program

Computer Science


Computer Science

Major Professor

Tu, Shengru

Second Advisor

DePano, Nathanael A.

Third Advisor

Richard, Golden G.


This thesis presents an implementation of a learning classifier system which learns good database schema. The system is implemented in Java using the NetBeans development environment, which provides a good control for the GUI components. The system contains four components: a user interface, a rule and message system, an apportionment of credit system, and genetic algorithms. The input of the system is a set of simple database schemas and the objective for the classifier system is to keep the good database schemas which are represented by classifiers. The learning classifier system is given some basic knowledge about database concepts or rules. The result showed that the system could decrease the bad schemas and keep the good ones.


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