5656 - 環境資料挖掘技術 英授 Taught in English

Environmental Data Mining

教育目標 Course Target

學習利用資料挖掘工具是從大量的、不完全的、有雜訊的、模糊的、隨機的實際應用資料中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的資訊和知識

Learning the use of data mining tools extracts hidden information and knowledge that people don’t know in advance, but are potentially useful from a large amount of incomplete, messy, vague, and random actual application data.

參考書目 Reference Books

G. J. Myatt, W. P. Johnson, 2009. Making Sense of Data II - A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications. Wiley.
Robert Nisbet, John Elder,Gary Miner, 2009. Handbook of Statistical Analysis and Data Mining Applications. Elsevier Inc.

G. J. Myatt, W. P. Johnson, 2009. Making Sense of Data II - A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications. Wiley.
Robert Nisbet, John Elder, Gary Miner, 2009. Handbook of Statistical Analysis and Data Mining Applications. Elsevier Inc.

評分方式 Grading

評分項目
Grading Method		 配分比例
Percentage		 說明
Description
期末報告
Final report
 60 期末專題
上課討論
Class discussion
 40

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課程資訊 Course Information

基本資料 Basic Information
  • 課程代碼 Course Code: 5656
  • 學分 Credit: 3-0
  • 上課時間 Course Time:
    Wednesday/2,3,4[S102]
  • 授課教師 Teacher:
    陳鶴文
  • 修課班級 Class:
    環工系4,碩博1,2
  • 選課備註 Memo:
    環工4可修
選課狀態 Enrollment Status
目前選課人數 Current Enrollment: 11 人
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