摘要
随着社会信息大爆炸和大量数据的产生,数据挖掘成了广泛关注的话题。本文从Check-in签到事件的数据出发,回顾了基于LBS的数据分析和挖掘现状。通过对Gowalla数据处理与分析,统计签到事件的数据分布规律,分析用户的签到行为,发现Check-in的时间戳具有明显的规律性,体现了人们的工作休闲活动特点,进一步探讨了签到数据在用户的行为习惯分析及兴趣发现等方面的应用。
Along with the social information explosion as well as the production of large amounts of data,data mining has become prevalent interest.This paper reviews the development and application of check-in data based on LBS.We draw check-in data statistical distribution and analyze users behavior based on Gowalla data processing and analysis.The conclusions based on experiment indicate that the obvious regularity of check-in time stamp reflects individual＇s work and leisure activities.In addition,the paper has also discussed how to utilize check-in data in the field of user＇s behavior analysis and interest discovery.
出处
《软件工程师》
2015年第8期3-5,共3页
Software Engineer
基金
教育部-中国移动科研基金项目
教育云规模化应用示范(MCM20121061)
海量教育资源云存储与获取关键技术研究与实现(MCM20121041)
关键词
数据挖掘
地理位置服务
签到
data mining
location-based service
check-in
