基于Hadoop的校园一卡通数据分析  

Analysis on data of the Campus IC Card based on Hadoop

作　　者：付影平[1] 马晶[1] 杜程[1] 

机构地区：[1]西安邮电大学信息中心,陕西西安710061

出　　处：《无线互联科技》2016年第15期77-79,共3页Wireless Internet Technology

摘　　要：文章通过对校园一卡通消费数据特征进行分析,发现学生消费行为背后隐藏的规律。文章采用数据挖掘统计分析的方法对前期获取的原始数据进行筛选,从不同年级、不同就餐地点两个方面考虑,研究不同群体的消费习惯。数据处理是在Hadoop(分布式系统基础架构)框架下采用Map Reduce(一种编程模型,映射和化简)方法,通过对关键字过滤之后得到统计结果并将其可视化。This article found the hidden rules of students＇ consumption behavior through the analysis on characteristics of the Campus IC Card consumption data. In this paper, the methods of data mining and statistical analysis are used to screen the raw data,in terms of two sides including different grades and different restaurants to considerate and study the consumption habits of different groups. Data processing means to adopt the MapReduce method under the Hadoop framework to get statistical results and visualize them after filtering the keywords.

关 键 词：校园一卡通 消费数据 HADOOP MAP REDUCE 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]