| Abstract | 第6-7页 |
| 摘要 | 第8-15页 |
| Chapter One Introduction | 第15-18页 |
| 1.1 Background | 第15-16页 |
| 1.2 Statement of the problem | 第16页 |
| 1.3 The aim and objectives of the study | 第16-17页 |
| 1.4 Outline of the thesis | 第17-18页 |
| Chapter Two Literature Review | 第18-34页 |
| 2.1 Classification and Prediction | 第18-19页 |
| 2.2 Decision Tree Induction | 第19-21页 |
| 2.3 Merits and Demerits of Decision Trees | 第21-23页 |
| 2.4 Decision Tree Algorithms | 第23-28页 |
| 2.5 Related work | 第28-32页 |
| 2.6 Discussion | 第32-33页 |
| 2.7 Summary | 第33-34页 |
| Chapter Three Methodology | 第34-39页 |
| 3.1 Supervised vs Unsupervised Discretization | 第34-35页 |
| 3.2 Dealing with Missing Values | 第35-36页 |
| 3.3 Dealing with Attribute Selection and Reduction | 第36-37页 |
| 3.4 Type and Distribution of Data | 第37页 |
| 3.5 Effects of Increased Workload | 第37-38页 |
| 3.6 Accuracy Evaluation | 第38页 |
| 3.7 Summary | 第38-39页 |
| Chapter Four Results and Analysis | 第39-53页 |
| 4.1 Preamble | 第39-40页 |
| 4.2 Experiments and Results of Discretization | 第40-42页 |
| 4.3 Experiments and Results for Missing Values | 第42-44页 |
| 4.4 Experiments on Attribute Selection and Reduction | 第44页 |
| 4.5 Experiments on Type and Distribution of Data | 第44-46页 |
| 4.6 Experiments on Effects of Increased Workload | 第46-47页 |
| 4.7 Experiments on Performance of the Algorithms Based on Accuracy | 第47-48页 |
| 4.8 Results Analysis | 第48-50页 |
| 4.9 Further Experiments Based on Kenya Population Census Data | 第50-52页 |
| 4.10 Summary | 第52-53页 |
| Chapter Five Conclusion and Future Work | 第53-55页 |
| References | 第55-60页 |
| Acknowledgement | 第60-61页 |
| Publications | 第61-62页 |
| Appendix | 第62-63页 |
