| Abstract | 第4-5页 |
| 摘要 | 第6-10页 |
| Chapter 1 Introduction | 第10-17页 |
| 1.1 Motivation | 第10-11页 |
| 1.2 Literature Review | 第11-14页 |
| 1.2.1 Local Research Review | 第11-12页 |
| 1.2.2 International Research Review | 第12-13页 |
| 1.2.3 Conclusion to Literature Review | 第13-14页 |
| 1.3 Research problem and objectives | 第14-15页 |
| 1.4 Thesis Outline/Organization | 第15-17页 |
| Chapter 2 Overview of algorithms and methods of machine learning | 第17-34页 |
| 2.1 Overview Machine learning and Data mining | 第17-19页 |
| 2.1.1 Data mining | 第17-19页 |
| 2.1.2 Machine learning | 第19页 |
| 2.2 Decision tree algorithm | 第19-24页 |
| 2.2.1 Background of Decision tree | 第19-21页 |
| 2.2.2 Basic Definitions of Decision Tree | 第21-22页 |
| 2.2.3 Typology of trees | 第22-23页 |
| 2.2.4 Algorithms for constructing a tree | 第23页 |
| 2.2.5 Adjusting the depth of the tree | 第23页 |
| 2.2.6 Advantages of the method | 第23-24页 |
| 2.3 Algorithm C 4.5 | 第24-26页 |
| 2.4 Naive Bayes algorithm | 第26-29页 |
| 2.4.1 Background description of Naive Bayes algorithm | 第26-27页 |
| 2.4.2 Naive Bayesian algorithm architecture | 第27-29页 |
| 2.4.2.1 Theory of Naive Bayes algorithm | 第27-28页 |
| 2.4.2.2 Example of Naive Bayes algorithm | 第28-29页 |
| 2.4.2.3 Theory applied on previous example of Naive Bayesian algorithm | 第29页 |
| 2.5 AODE algorithm | 第29-32页 |
| 2.5.1 Brief introduction to AODE algorithm | 第29-30页 |
| 2.5.2 AODE algorithm architecture | 第30-32页 |
| 2.5.3 Characteristics of AODE algorithm | 第32页 |
| 2.6 The differences Naive Bayes and AODE algorithms | 第32-33页 |
| Conclusion | 第33-34页 |
| Chapter 3 Modern principles of work of commercial institutions in the sphere of personal crediting | 第34-43页 |
| 3.1 The classical view of banking structures in the field of personal loans | 第34-35页 |
| 3.2 Factors affecting the assessment of personal creditworthiness | 第35-36页 |
| 3.3 Evaluation of personal creditworthiness based on scoring | 第36-38页 |
| 3.4 Structuring the credit system | 第38-40页 |
| 3.5 Scoring (ball) credit rating system | 第40-42页 |
| Conclusion | 第42-43页 |
| Chapter 4 Review and justification for choosing information support | 第43-48页 |
| 4.1 Review and justification of the software | 第43-45页 |
| 4.2 Preparing the data | 第45页 |
| 4.3 Select a database | 第45-47页 |
| Conclusion | 第47-48页 |
| Chapter 5 Experimental research | 第48-63页 |
| 5.1 Data set for Weka | 第48页 |
| 5.2 Description of the main attributes affecting the issuance of credit | 第48-49页 |
| 5.3 Description Converting client data to a data set for Weka | 第49-63页 |
| Chapter 6 Conclusion | 第63-65页 |
| Acknowledgements | 第65-66页 |
| Abbreviations | 第66-67页 |
| References | 第67-71页 |
| Publications | 第71页 |
