[1]闫 坤,沈苏彬.一种基于智能家居的用户行为预测方法[J].计算机技术与发展,2020,30(01):19-24.[doi:10. 3969 / j. issn. 1673-629X. 2020. 01. 004]
　YAN Kun,SHEN Su-bin.A User Behavior Prediction Method Based on Smart Home[J].Computer Technology and Development,2020,30(01):19-24.[doi:10. 3969 / j. issn. 1673-629X. 2020. 01. 004]
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一种基于智能家居的用户行为预测方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年01期
页码:
19-24
栏目:
智能、算法、系统工程
出版日期:
2020-01-10

文章信息/Info

Title:
A User Behavior Prediction Method Based on Smart Home
文章编号:
1673-629X(2020)01-0019-06
作者:
闫 坤; 沈苏彬
南京邮电大学 计算机学院,江苏 南京 210046
Author(s):
YAN Kun; SHEN Su-bin
School of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210046,China
关键词:
智能家居; 关联规则挖掘; Apriori 算法; 行为识别; 行为预测
Keywords:
smart home; association rule mining; Apriori algorithm; behavior recognition; behavior prediction
分类号:
TP393
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 01. 004
摘要:
随着移动通信技术、物联网技术和传感器技术等的快速发展,智能家居行业发展迅速。 由于人们生活水平的提高,对智能家居可以提供的智能服务需求正在增加。 然而,现有的智能家居系统只能根据预设的控制方法和规则简单地重复运行,并且根据用户的日常生活习惯,不能随时提供满足其个性化需求的服务。 试图为智能家居提供个性化服务,使智能家居的服务能够更加灵活、智能和人性化,报告了智能家居和关联规则挖掘的研究现状,对提高 Apriori 算法的效率进行了研究,设计了原型系统中的数据采集和预处理,网关以及行为识别和预测 3 个功能模块的总体实现方案。 实验结果表明,采用关联规则数据挖掘的方法可以预测智能家居环境下用户未来的行为,同时基于散列技术的 Apriori 算法提高了智能家居下用户行为预测过程中的效率。
Abstract:
With the rapid development of mobile communication technology,Internet of Things technology and sensor technology,the smart home industry is developing rapidly. Due to the improvement of people’s living standards,the demand for smart services that smart homes can provide is increasing. However,the existing smart home system can only be repeatedly repeated according to preset control methods and rules,and according to the daily habits of the user,services that meet their individual needs cannot be provided at any time. We try to provide personalized services for smart homes,so that the smart home services can be more flexible,intelligent and user-friendly. The research status of smart home and association rules mining is reported,and the efficiency of improving Apriori algorithm is studied. On the basis,we design the overall implementation of the three functional modules of the prototype system including data acquisition and previous treatment,gateway and behavioral recognition and prediction. The experiment shows that the association rule data mining method can predict the future behavior of users in the environment,and the Apriori algorithm based on hash technology improves the efficiency of user behavior prediction in the smart home.

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[1]何中胜 庄燕滨.基于Apriori＆Fp—growth的频繁项集发现算法[J].计算机技术与发展,2008,(07):45.
　HE Zhong-sheng,ZHUANG Yan-bin.Algorithm of Mining Frequent Itemset Based on Apriori and Fp - growth[J].Computer Technology and Development,2008,(01):45.
[2]李志云 周国祥.一种基于MFP树的快速关联规则挖掘算法[J].计算机技术与发展,2007,(06):94.
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　WANG Chao-hua,CHEN De-yan,HUANG Guo-hong,et al.Research and Implementation of Smart Home Based on Android Platform[J].Computer Technology and Development,2012,(01):225.
[7]楼巍 刘捷 严利民.协同进化算法在关联规则挖掘中的应用[J].计算机技术与发展,2012,(11):13.
　LOU Wei,LIU Jie,YAN Li-min.Applied Research on Association Rules Mining with Co-evolution Algorithm[J].Computer Technology and Development,2012,(01):13.
[8]赵晓东,丁岳伟.基于 Linux 嵌入式的智能家居系统设计[J].计算机技术与发展,2013,(01):201.
　ZHAO Xiao-dong,DING Yue-wei.Embedded Smart Home System Design Based on Linux[J].Computer Technology and Development,2013,(01):201.
[9]赵建华,师振伟.嵌入式Web服务器在智能家居控制系统的实现[J].计算机技术与发展,2013,(03):164.
　ZHAO Jian-hua,SHI Zhen-wei.Realization of Embedded Web Server in Smart Home Control System[J].Computer Technology and Development,2013,(01):164.
[10]杨威,高文华.基于Android的智能家居终端设计与研究[J].计算机技术与发展,2013,(07):245.
　YANG Wei,GAO Wen-hua.Design and Research of Smart Home Terminal Based on Android[J].Computer Technology and Development,2013,(01):245.

更新日期/Last Update: 2020-01-10