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论文编号:XXLW079 论文字数:12111,页数:30
摘 要
3G用户预测分析，是在数据仓库和数据挖掘技术迅速发展的基础上提出来的。对于3G的推出初期，电信运营商最想知道如何推广该业务，即哪些2G用户最有可能成为3G用户，最接近3G用户，从而提高命中率。
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
目 录
摘 要 ii
Abstract iii
目 录 iv
第一章 引 言 1
第二章 数据挖掘理论与技术 2
2.1 数据挖掘理论概述 2
2.2 采用的主要数据挖掘技术与方法 2
2.2.1 分类树原理 2
2.2.2 CART软件介绍 6
2.2.3 分类树方法的应用分析 7
第三章 3G用户的需求分析 8
3.1 已有的3G用户的需求分析 8
3.2 中国大陆3G用户的特征分析 9
第四章 3G用户的预测分析的过程 10
4.1 数据准备与清洗 10
4.2 数据挖掘过程 10
第五章 结论及建议 23
5.1 论文主要工作总结 23
5.2 3G在大陆的运营方案 23
致 谢 24
参考文献 25
附 录 26
