To equip the students with the knowledge and techniques of data mining to handle real world problemsto equip the students with knowledge and techniques of data mining to handle real world problems
讓學生知悉資料探勘如何運作，原理為何
Let students know how data mining works and what its principles are.
1. Han J. and Kamber M., Data Mining: Concepts and Techniques, Morgan Kaufmann
2. Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco, 2 edition, 2005.
Software:
1. SPSS
2. Weka
3. R
4. Excel
1. Han J. and Kamber M., Data Mining: Concepts and Techniques, Morgan Kaufmann
2. Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco, 2 edition, 2005.
Software:
1. SPSS
2. Weka
3. R
4. Excel
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Mid term Mid term midterm |
20 | |
| Final examFinal exam final exam |
20 | |
| Assignment Assignment assignment |
30 | |
| Project + presentationProject + presentation project + presentation |
20 | |
| Class Participation Class Participation class participation |
10 |
