本課程希望培養學生對於data mining相關的理論方法與實務問題解決的能力
課程主要涵蓋資料處理、分類、關係、分群等方法，並透過實際問題分析與探討，
了解各個方法如何應用到真實世界的資料處理，進而有能力提供真實問題的解決方法.This course hopes to cultivate students' ability to solve theoretical methods and practical problems related to data mining
The course mainly covers data processing, classification, relationship, grouping and other methods, and through actual problem analysis and exploration,
Understand how each method can be applied to real world data processing, and then be able to provide real-world solutions.
To equip the students with the knowledge and techniques of data mining to handle real world problems
To equip the students with the knowledge and techniques of data mining to handle real world problems
Data Mining: A Tutorial-Based Primer
Richard J. Roiger, Michael W. Geatz
Addison, 2002
Data Mining: A Tutorial-Based Primer
Richard J. Roiger, Michael W. Geatz
Addison, 2002
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 課堂參與課堂參與 Class Participation |
20 | 點名、課堂討論互動、特定議題意見表達 |
| 期中報告期中報告 Midterm Report |
40 | |
| 期末專題實作與報告期末專題實作與報告 Final period topic implementation and report |
40 |
