Data Mining 第八組 B88901079 萬佳育 B88901132 葉書蘋.

Presentation on theme: "Data Mining 第八組 B88901079 萬佳育 B88901132 葉書蘋."— Presentation transcript:

1 Data Mining 第八組 B 萬佳育 B 葉書蘋

2 Outline Why Data Mining What is Data Mining Data Mining Algorithm
Applications

3 Data Mining 之價值 Times時代雜誌預估: “Data Mining將是 21世紀最熱門之五大新興行業“
麻省理工學院2000年 元月號”科技評論” (Technology Review) 預測: “未來會改變世界的十大新興科技中: Data Mining 名列前矛“ IDC 於 2002年3月預測 “Data Mining 市場未來5年將大幅成長 將於短短四年成長 200%”

4 Why Data Mining？ 何謂資料庫？ 資料量大增 全世界資料庫的資料量每20個月就增加一倍！

5 Why Data Mining? (cont.) 資料雖多，了解卻少
CRM systems Data warehousing Web data Operational 資料雖多，了解卻少 We are drowning in data, but starving for knowledge! Solution Data Mining

6 What Is Data Mining? 資料採礦????
“Data mining is the process of exploration and analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns and rules.” Mastering Data Mining by M. Berry/ G. Linoff--

7 What Is Data Mining? 在一大群資料中找出pattern，賦予原本雜亂無章的資料意義，進而從中歸納出理論 挖出金礦！！！

8 From Data to Knowledge

9 The deciding factors for high school students to attend college are…
All Students Attend College: 55% Yes 45% No Attend College: 79% Yes 11% No IQ=High 45% Yes 55% No IQ=Low IQ ? Attend College: 94% Yes 6% No Wealth = True 69% Yes 21% No Wealth = False Wealth Attend College: 70% Yes 30% No 31% Yes 69% No Parents Encourage = No Encourage = Yes Parents Encourage?

10 Data Mining的程序 Data To Predict Training Data Mining Model DM Engine DM
Predicted Data

11 Data Mining 的工作循環

12 Customer Profiling 找出客戶共同特徵，以預測可能成為客戶的人 可降低成本，提高行銷的成功率。

13 Data Mining Algorithm Classification learning Association learning
Clustering Numeric prediction

14 Inferring rudimentary rules

15 Statistical modeling

16 Amazon

17 Amazon

18 Amazon

19 Amazon

20 e-Oscar

21 e-Oscar 支持某網站的族群同時也支持的其它網站 有那些不同種類的網站，分享著相同的網友族群。

22 e-Oscar 替網站建立關聯性 --------------有效決定廣告策略 瞭解網友上網習性 ------------提供給管理者建構
個人化網站的資訊

23 Software MLC++ (pd) MOBAL (pd) Emerald (rp) Kepler (rp)
Clementine (cp) DataMind DataCruncher (cp) Darwin (cp) Intelligent Miner (cp) INSPECT (cp) NeoVista Solutions (cp) Nuggets (cp) Partek (cp) Polyanalyst (cp) SAS Data Mining (cp) Statiatica SGI MindSet (cp) Knowledge Explorer (cp) DataEngine (cp) Delta Miner (cp) S-PLUS (cp) MATLAB (cp) Mathematica (cp) XGOBI (pd) Crystal Vision neé ExplorN sphinxVision Graf-FX IRIS Spotfire Netmap Visible Decisions Inc. Visual Mine

24 Reference Data Mining：Practical Machine Learning Tools and Techniques with Java Implementations/Ian H. Written, Eibe Frank/The Morgan Kaufmann/October 1999