User filtering based campus WLAN user clustering method

With the widespread of smart terminals such as smart phones and smart pads,using MAC address as user identification in campus wireless local area network (WLAN) user clustering research cannot exactly represent user behavior.An user filtering based user clustering is proposed.This method filters use...

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Main Authors: Yi-hong QIU, Ting-juan YAO, Feng-lin QIN, Lian-sheng GE
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-10-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.028/
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author Yi-hong QIU
Ting-juan YAO
Feng-lin QIN
Lian-sheng GE
author_facet Yi-hong QIU
Ting-juan YAO
Feng-lin QIN
Lian-sheng GE
author_sort Yi-hong QIU
collection DOAJ
description With the widespread of smart terminals such as smart phones and smart pads,using MAC address as user identification in campus wireless local area network (WLAN) user clustering research cannot exactly represent user behavior.An user filtering based user clustering is proposed.This method filters users’ behavior data by their degree of activeness,and then further conducts clustering analysis of campus WLAN user behavior.The experimental result verifies the effectiveness of the proposed method.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2014-10-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-42ec07f0aba44be59e632edeff3215ec2025-01-14T06:44:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-10-013514614959688513User filtering based campus WLAN user clustering methodYi-hong QIUTing-juan YAOFeng-lin QINLian-sheng GEWith the widespread of smart terminals such as smart phones and smart pads,using MAC address as user identification in campus wireless local area network (WLAN) user clustering research cannot exactly represent user behavior.An user filtering based user clustering is proposed.This method filters users’ behavior data by their degree of activeness,and then further conducts clustering analysis of campus WLAN user behavior.The experimental result verifies the effectiveness of the proposed method.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.028/campus WLANuser clusteringuser filteringuser degree of activeness
spellingShingle Yi-hong QIU
Ting-juan YAO
Feng-lin QIN
Lian-sheng GE
User filtering based campus WLAN user clustering method
Tongxin xuebao
campus WLAN
user clustering
user filtering
user degree of activeness
title User filtering based campus WLAN user clustering method
title_full User filtering based campus WLAN user clustering method
title_fullStr User filtering based campus WLAN user clustering method
title_full_unstemmed User filtering based campus WLAN user clustering method
title_short User filtering based campus WLAN user clustering method
title_sort user filtering based campus wlan user clustering method
topic campus WLAN
user clustering
user filtering
user degree of activeness
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.z1.028/
work_keys_str_mv AT yihongqiu userfilteringbasedcampuswlanuserclusteringmethod
AT tingjuanyao userfilteringbasedcampuswlanuserclusteringmethod
AT fenglinqin userfilteringbasedcampuswlanuserclusteringmethod
AT lianshengge userfilteringbasedcampuswlanuserclusteringmethod