1112_資料探勘_工管系碩專班一甲
上課期間:從 即日起 到 無限期
LINE分享功能只支援行動裝置
課程介紹
課程安排
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.
課本&教材
Pang-Ning Tan et al.,, "Introduction to Data Mining:", Second Edition. .
2011 by Pearson International Edition. Published 2011 by Addison Wesley, Inc
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課程簡介
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課程進度
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pandas練習檔
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企鵝資料集
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觀光人數資料檔
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年度金額資料檔
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第一章DM簡介
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基礎分類模型
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進階分類模型
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基礎分群模型
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進階分群模型
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基礎關聯規則
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進階關聯規則
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異常值檢測模型
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文字探勘--前置處理
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文字探勘
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推薦系統
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資訊檢索簡介
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SNA範例程式
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期刊論文1
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期刊論文2
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期刊論文3
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期刊論文4
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期刊論文5
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期刊論文6
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期刊論文7
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期刊論文8
教師 / 鄭明顯