[Spring 2023] Data Mining Theory and Application (IIE 4102)
For each subject, paper review & practice code with python will be uploaded.
| Week | Subject |
|---|---|
| week_1 | Introduction to Data Mining |
| week_2 | DM Process / Variable Selection |
| week_3 | Principal Component Analysis(PCA) / Factor Analysis(FA) |
| week_4 | Clustering Analysis |
| week_5 | CBR / AR / CF |
| week_6 | Social Network Analysis(SNA) |
| week_7 | Logistic Regression / Model Assessment |
| week_8 | Term Project Draft |
| week_9 | Decision Tree |
| week_10 | Neural Network |
| week_11 | Ensemble |
| week_12 | Term Project Presentation |
| week_13 | Term Project Final Version |
Notion | https://oval-alligator-fbf.notion.site/Git-Hub-f5f97b35a95c4f8597bec34fb0f74a5b