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Data warehouse and data mining

Data warehouse and data mining. Yung-Sun Lee MCU yuslee@mcu.edu.tw. Text Book. Data mining concepts and techniques — Jiawei Han, Micheline Kamber, 2007 2e, Morgan Kaufmann Publishers, 新月代理 Reference: 資料探勘 — 曾憲雄等著，旗標， 2005.5

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Data warehouse and data mining

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  1. Data warehouse and data mining Yung-Sun Lee MCU yuslee@mcu.edu.tw 00 DW/DM course outline

  2. Text Book • Data mining concepts and techniques—Jiawei Han, Micheline Kamber, 2007 2e, Morgan Kaufmann Publishers, 新月代理 • Reference: • 資料探勘—曾憲雄等著，旗標，2005.5 • Data Mining Techniques for Marketing, Sales, and Customer Relationship Management 2/e—Michael J. A. Berry & Gordon S. Linoff, 2004, Wiley, 智勝代理23886368 • SQL Server 2005商業智慧聖經—學貫—胡百敬、尹相志 • SQL Server 2005資料採礦聖經—學貫—胡百敬、尹相志 • Reference list 00 DW/DM course outline

  3. Syllabus WeeksContents Chapters 1 Overview of Data mining Ch 1 2-4 Association Rule, (Time Series) Ch 5, 8 5Association Rule SPSS –Apriori(1) 6-7 Classification and Prediction Ch 6 8-9DT and NNSPSS –C5.0、C&RT、類神經網路(3-4) 9 Cluster analysis Ch 7 10 Mid Exam 11 Cluster analysis Ch 7 12 SPSS –Kohonen、K-means(5-6) 13 Data warehouse Ch 3-4 14 OLAP(7) R3 15 序列Time Series(2) SPSS-Logistic、迴歸(8-9) 16 Time Series, Memory-Based Reasoning Ch8, Ch8[R1] 17 Text mining & Web Mining Ch10.4-10.5 18 Data Preprocessing Ch 2 00 DW/DM course outline

  4. Requirements • 期中考30% 平時成績70% • 平時成績 • HW1: 各指定作業 20% • HW2: Text Presentation 40% • Power Point File and papers; .pdf file (optional) • HW3: 從最新相關期刊中選擇10篇論文, 每篇摘要翻成中文 (每人第17週交, 包含A4紙本報告, 報告word file, 期刊原文A4紙本, 期刊 pdf file) 40% 00 DW/DM course outline

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