| 當期課號 |
7801 |
Course Number |
7801 |
| 授課教師 |
謝富雄 |
Instructor |
HSIEH,FU SHIUNG |
| 中文課名 |
資料探勘 |
Course Name |
Data Mining |
| 開課單位 |
資訊工程系碩士在職專班一A |
Department |
|
| 修習別 |
選修 |
Required/Elective |
Elective |
| 學分數 |
3 |
Credits |
3 |
| 課程目標 |
資料倉儲與挖掘這門學科所關注的問題是：從大量資料中挖掘出事先未知、有效的和有用的資訊之過程，以提供有效的策略決斷並焠煉出具有競爭力的企業智慧。本課程主要的目標是介紹資料挖掘中核心的演算法、理論及相關應用。 |
Objectives |
This course concentrates on the processes to discover previously unknown, useful knowledge or rules from huge data to support decision making. The students will learn the different algorithms in data mining and their potential applications. |
| 教材 |
Data Mining: Introductory and Advanced Topics, Dunham, Prentice Hall, 2003.
Data Mining: Concepts and Techniques, Jiawei Han and Micheline Kamber , Morgan Kaufmann.
Journal or Conference Papers |
Teaching Materials |
Data Mining: Introductory and Advanced Topics, Dunham, Prentice Hall, 2003.
Data Mining: Concepts and Techniques, Jiawei Han and Micheline Kamber , Morgan Kaufmann.
Journal or Conference Papers |
| 成績評量方式 |
Midterm:30%, Final:40%, Others:30% |
Grading |
Midterm:30%, Final:40%, Others:30% |
| 教師網頁 |
|
| 教學內容 |
1. An introduction to data mining
2. Data warehousing
3. Data warehousing technology
4. Basic data mining techniques: characterization, association, classification, clustering, and similarity-based mining.
5. Advanced data mining topics |
Syllabus |
1. An introduction to data mining
2. Data warehousing
3. Data warehousing technology
4. Basic data mining techniques: characterization, association, classification, clustering, and similarity-based mining.
5. Advanced data mining topics |