5569 - 資料探勘

Data Mining

教育目標 Course Target

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

課程概述 Course Description

讓學生知悉資料探勘如何運作，原理為何

Let students know how data exploration works and what principles

參考書目 Reference Books

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

評分方式 Grading

評分項目
Grading Method		 配分比例
Percentage		 說明
Description
Mid term
Mid term
 20
Final exam
Final exam
 20
Assignment
Assignment
 30
Project + presentation
Project + presentation
 20
Class Participation
Class Participation
 10

授課大綱 Course Plan

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Time & Room		 學分
Credits		 操作
Actions
選修-1341
Applied Data Mining Technology in
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必修-1650
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課程資訊 Course Information

基本資料 Basic Information
  • 課程代碼 Course Code: 5569
  • 學分 Credit: 0-3
  • 上課時間 Course Time:
    Wednesday/2,3,4[IEⅡ102]
  • 授課教師 Teacher:
    賴俊鳴/邱創鈞
  • 修課班級 Class:
    工工碩博1,2
  • 選課備註 Memo:
    GE7105
選課狀態 Enrollment Status
目前選課人數 Current Enrollment: 16 人
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