教學大綱與進度

課程基本資料：

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
109-2	286803	資料探勘	1	3.0	3	★	黃有評	AI雙聯專班一	38	0	綜科318室，3/6, 3/27, 4/11, 4/18, 5/15, 5/30

教學大綱與進度：

教師姓名	黃有評
Email	yphuang@ntut.edu.tw
最後更新時間	2020-12-14 10:39:04
課程大綱	Scope: This course is to introduce useful data mining techniques for students. We hope that students can learn more fundamental and advanced skills in the competitive mobile commerce world. “Necessity is the mother of invention”—Data mining—Automated analysis of massive data sets. Data mining (knowledge discovery from data) : Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data.
課程進度	1: Introduction 2~3: Data preprocessing 4~5: Mining association rules in large databases 6: Project report 1 7~8: Classification and prediction 9: Project report 2 10~11: Cluster analysis 12: Mining complex types of data 13: Project report 3 14~15: Spatial and temporal data mining 16~17: Advanced topics in data mining 18: Final project report
評量方式與標準	1. Project report 15% x 3 = 45% 2. Final project report 25% 3. Other performance + HWs 30%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 Textbook: J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers Reference: M.H. Dunham, Data mining: introductory and advanced topics, 歐亞書局代理
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