[1]戴琳,张悦,韦玉,等. 基于 WEKA 平台的移动客户流量消费分析[J].计算机技术与发展,2016,26(01):115-118.
　DAI Lin,ZHANG Yue,WEI Yu,et al. Analysis of Mobile Customer Traffic Consumption Based on WEKA Platform[J].,2016,26(01):115-118.
点击复制

 基于 WEKA 平台的移动客户流量消费分析()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年01期
页码:
115-118
栏目:
应用开发研究
出版日期:
2016-01-10

文章信息/Info

Title:
 Analysis of Mobile Customer Traffic Consumption Based on WEKA Platform
文章编号:
1673-629X（2016)01-0115-04
作者:
 戴琳; 张悦; 韦玉; 景子倩; 张沫; 宫婧
 南京邮电大学 理学院
Author(s):
 DAI Lin; ZHANG Yue; WEI Yu; JING Zi-qian; ZHANG M; GONG Jing
关键词:
 ; 移动客户流量消费; WEKA ; 决策树; 分类预测; 精确营销
Keywords:
 ; mobile customer traffic consumption; WEKA; decision tree; classification prediction; precise marketing
分类号:
TP39
文献标志码:
A
摘要:
 随着移动互联网的飞速发展，手机网民规模迅速扩张，作为移动互联网关键环节的中国移动正面临着这一机遇与挑战；如何根据用户的业务使用情况，对移动客户流量消费进行分析是增加业务收入、提高用户满意度的重要研究课题。文中主要研究了基于 WEKA 平台的移动客户流量消费分析。首先，进行客户群与客户发展趋势的细分，对用户业务数据进行特征选择、数据清洗以及数据类型转换的预处理。其次，以客户群作为添加属性，以客户发展趋势作为目标属性，基于 WEKA 平台的决策树算法对预处理后的业务数据进行分析，建立手机上网用户的决策树模型。最后，根据移动公司提供的2万条客户业务数据对模型进行验证。结果表明，当样本数在10000至20000时，模型有很好的分类预测效果，能够挖掘出潜在的高流量用户，从而达到精确营销的目的。
Abstract:
 With the rapid development of mobile Internet,mobile Internet users scale expands rapidly,the China mobile,as the key link of the mobile Internet,is facing the opportunities and challenges. How to analyze the mobile client traffic consumption according to the user’ s business is important research subject to increase revenue and improve customer satisfaction. The analysis of the mobile customer traffic consumption based on WEKA platform is studied. Firstly,subdivide the development trend of customer base and customer,selecting the user business data feature,cleaning the data and converting the data types. Secondly,adding customers as property,development trend of the customer as the target attribute,analyze business data after pretreatment based on the decision tree algorithm on WEKA platform,mo-bile Internet users of the decision tree model is established. Lastly,verify this model according to the mobile 20 000 customer business da-ta provided by the company. The results show that the model has good classification prediction effect when the number of samples is from 10 000 to 15 000,able to dig out the potential high flow users so as to achieve the purpose of precise marketing.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(01):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(01):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(01):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(01):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(01):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(01):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(01):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(01):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(01):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(01):47.

更新日期/Last Update: 2016-04-13