文章基本信息

标题：Location Prediction in a Smart Environment
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作者：Wael Ali Alosaimi ; Ahmed Binmahfoudh ; Roobaea Alroobaea 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：3
页码：264-269
DOI：10.14569/IJACSA.2019.0100334
出版社：Science and Information Society (SAI)
摘要：The context prediction and especially the location prediction is an important feature for improving the performance of smart systems. Predicting the next location or context of the user make the system proactive, so the system will be capable to offer the suitable services to the user without his involving. In this paper, a new approach will be presented based on the combination of pattern technique and Bayesian network to predict the next location of the user. This approach was tested on real data set, our model was able to achieve 89% of the next location prediction accuracy.
关键词：Location prediction; context; pattern; Bayesian network