基于大数据技术的铁路互联网售票异常用户行为分析研究与实现  

Analysis of abnormal user behavior of railway Internet ticketing based on big data technology

作　　者：郝晓培[1] 单杏花[1] 杨立鹏[1] 王拓[1] HAO Xiaopei;SHAN Xinghua;YANG Lipeng;WANG Tuo(China Academy of Railway Sciences, Beijing 100081,China)

机构地区：[1]中国铁道科学研究院,北京100081

出　　处：《铁路计算机应用》2017年第5期1-4,10,共5页Railway Computer Application

基　　金：中国铁路总公司科研计划课题(J2016X009);中国铁道科学研究院科研项目(ASP15123037)

摘　　要：近几年铁路互联网售票系统不断完善,给人民群众的出行带来了很大的便利,售票量不断增加,同时也存在抢票、囤票等异常用户行为,为了保障售票系统的安全稳定运行及维护公平公正的售票环境,提出了基于大数据技术的海量用户行为日志分析系统架构,有效地识别出异常购票行为。In recent years,the railway Internet ticketing and reservation system has been continuously improved,which brings great convenience to people's travel and increasing ticketing sales at the same time,there exists grabbing tickets,store tickets and other abnormal user behavior.In order to ensure the safe and stable operation of the system and maintain fair and equitable ticketing environment,this article proposed the analysis system framework of large user behavior log based on big data technology.The framework could identify the abnormal ticketing behavior efficiently.

关 键 词：大数据 互联网售票 用户行为分析 架构 

分 类 号：U293.22[交通运输工程—交通运输规划与管理] TP39[交通运输工程—道路与铁道工程]