基于无线探测的用户行为差异分析
首发时间:2017-06-09
摘要:不同的楼宇具有不同的功能,比如有的楼宇是宿舍楼、有的是教学楼、有的是食堂、有的是办公楼,这些楼宇中常来往的人都具有不同的特点,宿舍楼居住的人员比较固定,而食堂人流量比较大,每个楼宇中人流量随着时间变化具有自己的特征。用户的行为都具有各自的特点,不同用户的行为之间具有差异,然而也具有一定的规律。本文利用部署在校园的无线监测点采集的数据,采用无线实境分析系统对数据进行预处理得到适合用于分析的数据,过滤掉有问题的数据,对不同的楼宇的用户行为进行聚类分析,分析不同的楼宇的用户行为之间的差异,得出不同的楼宇的用户的行为规律。
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Analysis of User Behavior Difference Based on Wireless Detection
Abstract:Different buildings have different functions, such as some buildings are dormitory, some teaching buildings, some cafeteria, some office buildings, these buildings often come and go people have different characteristics, dormitory living more fixed, and canteen Traffic is relatively large, each building in the flow of people with time changes have their own characteristics. The user's behavior has its own characteristics, different users of the behavior between the differences, but also has a certain law. In this paper, the data collected by the wireless monitoring points deployed on the campus are used to preprocess the data to obtain the data suitable for the analysis, filter out the problematic data and cluster the user behavior of different buildings , Analyze the differences between the user behavior of different buildings, and derive the behavior of the users of different buildings.
Keywords: Wireless reality analysis system clustering algorithm user behavior analysis
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No.4736728120556414****
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