2021spring_Data Mining_MS Program in Industrial Engineering and Management 1 A
Course Period:Now ~ Any Time
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Course Intro

Course Plan

教學目標:Lots of data is being collected and warehoused.Computers have become cheaper and more powerful. Data collected and stored at enormous speeds (GB/hour). Data mining may help scientists in classifying and segmenting data in Hypothesis Formation. There is often information “hidden” in the data that is not readily evident. Human analysts may take weeks to discover useful information Much of the data is never analyzed at all. Non-trivial extraction of implicit, previously unknown and potentially useful information from data. Exploration & analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns.
 Textbooks
Pang-Ning Tan et al.,, "Introduction to Data Mining:", Second Edition. . 2011 by Pearson International Edition. Published 2011 by Addison Wesley, Inc
  • 課程簡介
  • 課程進度
  • 第一章DM簡介
  • 基礎分類模型
  • 進階分類模型
  • 基礎分群模型
  • 進階分群模型
  • 基礎關聯規則
  • 進階關聯規則
  • 文字探勘--前置處理
  • 文字探勘
  • 異常值檢測模型
  • 資訊檢索簡介
  • 期刊論文1
  • 期刊論文2
  • 期刊論文3
  • 期刊論文4
  • 期刊論文5
  • 期刊論文6
Teacher / 鄭明顯

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