Classifier System Learning of Good Database Schema

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Year

2008

Author dc:creator

• Tanaka, Mitsuru

Contributors dc:contributor

• Tu, Shengru
• DePano, Nathanael A.
• Richard, Golden G.

• classifier system
• machine learning
• genetic algorithms
• and relational database

Repository record dc:identifier

https://scholarworks.uno.edu/td/859

OAI identifier oai:identifier

oai:scholarworks.uno.edu:td-1839