Term of Award

Summer 2004

Degree Name

Master of Computer Science

Document Type and Release Option

Thesis (restricted to Georgia Southern)

Department

Department of Computer Science

Committee Chair

Wen-Ran Zhang

Committee Member 1

Ardian Greca

Committee Member 2

Jian Ping Wang

Committee Member 3

Xiezhang Li

Abstract

The amount of data stored to gather information is growing at an amazing speed nowadays which leads to the difficulties of extracting knowledge from that data. The field of Data mining plays an important role in the extraction of implicit and actionable knowledge from extremely large datasets. It is a field that plays an important role in the world of fuzzy logic and neural networks as well.

This thesis describes and outlines the result of a study with raw data of a folding legged 3-linked uniped robot used to focus on the formal study of identifying agents that bear most information and their usefulness. This identification of bearing the most information is obtained by using Information Gain and Gini methods of data mining. The two methods were used so that a comparison could be made between them.

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