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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

Data warehouse and data mining

Yung-Sun Lee

MCU

yuslee@mcu.edu.tw

00 DW/DM course outline

text book
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

syllabus
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

requirements
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