資料探勘研究與實務
Data Mining Research & Practice
| 節 | 週五 |
|---|---|
2 09:00–09:50 | 資料探勘研究與實務 MB312（光復） 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
The main objective of this class is to study techniques and applications of data mining, drawing work from areas including database technology, artificial intelligence, and knowledge-based systems. This course will cover Data Warehousing and Data Mining, as well as some topics related to Text Mining and Recommender Systems. Students are required to accomplish project assignments on the implementation and experiment on mining data from various application domains.
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Homework & Participation (15%), Project & Presentation (25%), Midterm (30%), Final (30%)
- Introduction
- Data Preprocessing
- Mining Association Rules
- Classification
- Cluster Analysis
- Text Mining
- Recommender Systems
- Link Analysis and Social Network Analysis
- Data Warehousing
| 週次 | 主題 |
|---|---|
| 第 1 週 | Overview |
| 第 2 週 | Data Preprocessing |
| 第 3 週 | Mining Association Rules |
| 第 4 週 | Mining Association Rules |
| 第 5 週 | Classification |
| 第 6 週 | Classification |
| 第 7 週 | Classification |
| 第 8 週 | Midterm |
| 第 9 週 | Cluster Analysis |
| 第 10 週 | Cluster Analysis |
| 第 11 週 | Text Mining |
| 第 12 週 | Text Mining |
| 第 13 週 | Recommender Systems |
| 第 14 週 | Recommender Systems |
| 第 15 週 | Link analysis & Social Network Analysis |
| 第 16 週 | Data Warehousing |
| 第 17 週 | Data Warehousing |
| 第 18 週 | Final exam |
Data Mining: Concepts and Techniques, 3rd ed., Morgan Kaufmann Publishers, 2011, by Jiawei Han, Micheline Kamber and Jian Pei; Course slides: http://www-faculty.cs.uiuc.edu/~hanj/bk3/
- 地點
- MB 305
- 時間
- Fri. pm 12:30 ~ 1:30
- 聯絡方式
- dliu@iim.nctu.edu.tw