Data Mining
| Course Purpose |
|---|
| The purpose of this lecture course is to understand fundamental analysis methods in the domain of multivariable analysis and data mining. |
| Learning Goals |
| Students should be able to: 1) understand and explain objective and principles of some methods in the domain of multivariable analysis, 2) understand and explain objective and algorithms of some methods in the domain of data mining, and 3) apply the methods and algorithms to some small datasets. |
| Topic | |
|---|---|
| Session 1 | Introduction |
| Session 2 | Regression analysis (1) |
| Session 3 | Regression analysis (2) |
| Session 4 | Principal component analysis |
| Session 5 | Fluent plot, principal component score |
| Session 6 | Support vector machine |
| Session 7 | Kernel method |
| Session 8 | Decision tree |
| Session 9 | Regression tree |
| Session 10 | Frequent item set enumeration |
| Session 11 | Derivation of correlation rules |
| Session 12 | Clustering (1) |
| Session 13 | Clustering (2) |
| Session 14 | Comprehensive study |