3G用戶預測分析

信息計算科學論文編號:XXLW079 論文字數:12111,頁數:30

目  錄
摘  要 ii
Abstract iii
目  錄 iv
第一章  引  言 1
第二章  數據挖掘理論與技術 2
2.1  數據挖掘理論概述 2
2.2  采用的主要數據挖掘技術與方法 2
2.2.1  分類樹原理 2
2.2.2  CART軟件介紹 6
2.2.3  分類樹方法的應用分析 7
第三章  3G用戶的需求分析 8
3.1  已有的3G用戶的需求分析 8
3.2  中國大陸3G用戶的特征分析 9
第四章  3G用戶的預測分析的過程 10
4.1  數據準備與清洗 10
4.2  數據挖掘過程 10
第五章  結論及建議 23
5.1  論文主要工作總結 23
5.2  3G在大陸的運營方案 23
致  謝 24
參考文獻 25
附  錄 26

摘     要

 3G用戶預測分析，是在數據倉庫和數據挖掘技術迅速發展的基礎上提出來的。對于3G的推出初期，電信運營商最想知道如何推廣該業務，即哪些2G用戶最有可能成為3G用戶，最接近3G用戶，從而提高命中率。
Abstract
 Prediction and Analysis of 3G User, is proposed based on the rapid development of data warehouse and data mining technology. At the early introduction of 3G, telecom operators most want to know how to promote the business. In order to increase the percentage of hits, they want to know which kind of 2G users are most likely to become 3G users or be close to 3G users.
   Based on a Hong Kong telecom operator’s data which includes more than 10,000 Samples, every sample has 250 variables include the data of Mobile use, demographic data and so on, we use CART decision tree software to make the existing 2G/3G users analyses and compared, classification tree generated. Then we extract the characteristics of 3G users.
   Based on ranking the importance of the variables, we can get some of the important characteristics of 3G users. The model can be applied to find the 3G users in positioning from 2G users, or find 2G users who is most close to 3G users. Address this part of the population to promote, it will have better results than a random blind.
 
Key words:  3G user; Data Mining; Decision Tree; CART