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1、資料倉儲Data Warehousing,淡江大學資訊管理系戴敏育Min-Yuh Dayhttp:/mail.im.tku.edu.tw/myday/2011-02-15,1,992DW01MI4二 8,9 15:10-17:00 L413,http:/mail.im.tku.edu.tw/myday/,2,http:/mail.im.tku.edu.tw/myday/,3,課程資訊,課程名稱：資料倉儲(Data Warehousing)授課教師：戴敏育(Min-Yuh Day)開課系級：資管四(MI4)開課資料：選修 單學期 2學分上課時間：週二 8,9(Tue 15:10-17:00)上課
2、教室：L413,4,Knowledge Discovery(KDD)Process,Data Warehouse:fundamental process for Data Mining and Business IntelligenceData mining:core of knowledge discovery process,Data Cleaning,Data Integration,Databases,Data Warehouse,Knowledge,Task-relevant Data,Selection,Data Mining,Pattern Evaluation,5,Source
3、:Han&Kamber(2006),Data WarehouseData Mining and Business Intelligence,Increasing potentialto supportbusiness decisions,End User,Business Analyst,DataAnalyst,DBA,Decision Making,Data Presentation,Visualization Techniques,Data Mining,Information Discovery,Data Exploration,Statistical Summary,Querying,
4、and Reporting,Data Preprocessing/Integration,Data Warehouses,Data Sources,Paper,Files,Web documents,Scientific experiments,Database Systems,6,Source:Han&Kamber(2006),課程簡介,本課程介紹資料倉儲的基本概念及技術。課程內容包括資料倉儲、OLAP、資料探勘、商業智慧、即時分析處理，資料方塊，關聯分析、分類、分群、社會網路分析、文字探勘、與網頁探勘。,7,Course Introduction,This course introduce
5、s the fundamental concepts and technology of data warehousing.Topics include data warehousing,data mining,business intelligence,OLAP,data cube,association analysis,classification,cluster analysis,social network analysis,text mining,and web mining.,8,Objective,Students will be able to understand and
6、apply the fundamental concepts and technology of data warehousing.,9,教學目標之教學策略與評量方法,教學目標學生將能夠瞭解及應用資料倉儲的基本概念及技術。教學策略課堂講授、分組討論評量方法出席率、報告、討論、期中考、期末考,10,授課進度表,11,12,授課進度表(續),教材課本,Data Mining:Concepts and Techniques,Second Edition,Jiawei Han and Micheline Kamber,2006,Elsevier參考書籍資料探勘：概念與方法，王派洲 譯，2008，滄海資
7、料庫理論與實務SQL Server 2008，施威銘研究室，2010，旗標Web 資料採掘技術經典，孫惠民，2008，松崗,13,Data Mining:Concepts and Techniques(Second Edition),14,15,16,作業與學期成績計算方式,批改作業篇數1篇（Team Term Project）學期成績計算方式期中考成績：30 期末考成績：30 作業成績：20(Team Term Project)其他（課堂參與及報告討論表現）：20,17,Term Project,參與 NTCIR 國際競賽NTCIR(NII Test Collection for IR Sy
8、stems)Project NTCIR-9(July 2010-December 2011)December 6-9,2011,NII,Tokyo,Japan NTCIR-9 RITERecognizing Inference in TExt NTCIR9NTCIR-9 CrossLinkCrossLingualLinkDiscoveryTaskOpen Topic ProjectTopics related to Data Warehousing,Business Intelligence,Data mining,Text mining,Web mining,Social Network A
9、nalysis,Link Mining.,18,NTCIR Project(NII Test Collection for IR Systems),19,NTCIR-9 RITERecognizing Inference in TExt NTCIR9,20,NTCIR-9 CrossLinkCrossLingualLinkDiscoveryTask,21,Term Project Teams,5-7 人為一組分組名單於 2011.02.22(二)課程下課時繳交由班代統一收集協調分組名單NTCIR ProjectNTCIR-9 RITE(Project 1 Teams)NTCIR-9 Cross
10、Link(Project 2 Teams)Open Topic Project(Project 3 Teams)Topics related to Data Warehousing,Business Intelligence,Data mining,Text mining,Web mining,Social Network Analysis,Link Mining.,22,Contact Information,戴敏育 博士(Min-Yuh Day,Ph.D.)專任助理教授淡江大學資訊管理學系電話：02-26215656#2347傳真：02-26209737研究室：I716(覺生綜合大樓)Office Hour地址：25137 新北市淡水區英專路151號Email：網址：http:/mail.im.tku.edu.tw/myday/,23,
