计算机技术与发展Issue(1)：115-118,4.DOI:10.3969/j.issn.1673-629X.2016.01.024
基于 WEKA 平台的移动客户流量消费分析
Analysis of Mobile Customer Traffic Consumption Based on WEKA Platform
摘要
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.关键词
移动客户流量消费/WEKA/决策树/分类预测/精确营销Key words
mobile customer traffic consumption/WEKA/decision tree/classification prediction/precise marketing分类
信息技术与安全科学引用本文复制引用
戴琳,张悦,韦玉,景子倩,张沫,宫婧..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,(1):115-118,4.基金项目
国家自然科学基金资助项目(61373135) （61373135）
江苏省高校自然科学研究重大项目(12KJA52003) （12KJA52003）
南京邮电大学大学生科技创新训练计划(STITP)(XYB2014154) （STITP）
