5696 - 資料探勘實務
Data Mining: Foundations and Practice
教育目標 Course Target
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.
課程概述 Course Description
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
參考書目 Reference Books
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
評分方式 Grading
評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
---|---|---|
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 Midterm Report |
40 | |
期末專題實作與報告 Final period topic implementation and report |
40 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5696
- 學分 Credit: 3-0
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上課時間 Course Time:Thursday/6,7,8[ST318]
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授課教師 Teacher:許瑞愷
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修課班級 Class:資工碩1,2
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選課備註 Memo:三大領域:大數據
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