5512 - 資料探勘與應用 英授 Taught in English
Data Mining: Concepts, Techniques, and Applications
教育目標 Course Target
Data mining serves as a crucial field that leverages advanced algorithms to reveal
hidden, yet invaluable insights buried within extensive datasets. These algorithms
are drawn from a multitude of areas such as machine learning, artificial
intelligence, pattern recognition, statistics, and database systems, working
together to facilitate a deeper understanding and analysis of data.
Data mining serves as a crucial field that leverages advanced algorithms to reveal
hidden, yet invaluable insights buried within extensive datasets. These algorithms
are drawn from a multitude of areas such as machine learning, artificial
intelligence, pattern recognition, statistics, and database systems, working
together to facilitate a deeper understanding and analysis of data.
參考書目 Reference Books
Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining,
Addison Wesley
Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Introduction to Data Mining,
Addison Wesley
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
Two assignments Two assignments |
20 | |
|
One short presentation One short presentation |
10 | |
|
One project One project |
25 | |
|
One exam One exam |
35 | |
|
Class participation (in or after class) Class participation (in or after class) |
10 |
授課大綱 Course Plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 5512
- 學分 Credit: 3-0
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上課時間 Course Time:Monday/2,3,4
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授課教師 Teacher:陳宜欣/工院教師
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修課班級 Class:共選修3,4,碩博1,2(工學院開)
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選課備註 Memo:教育部補助臺灣大專院校人工智慧學程聯盟，開設學校：清華大學（陳宜欣），上課時間：9:00~12:00，遠距課程。開放大三以上修課。英文授課。
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