Abstract: 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.

Wael Ali Alosaimi, Ahmed Binmahfoudh, Roobaea Alroobaea and Atef Zaguia. “Location Prediction in a Smart Environment”. International Journal of Advanced Computer Science and Applications (IJACSA) 10.3 (2019). http://dx.doi.org/10.14569/IJACSA.2019.0100334

@article{Alosaimi2019,
title = {Location Prediction in a Smart Environment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100334},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100334},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {3},
author = {Wael Ali Alosaimi and Ahmed Binmahfoudh and Roobaea Alroobaea and Atef Zaguia}
}