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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Location Prediction in a Smart Environment

Author 1: Wael Ali Alosaimi Author 2: Ahmed Binmahfoudh Author 3: Roobaea Alroobaea Author 4: Atef Zaguia
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 3 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100334

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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.

Keywords

Location prediction context pattern Bayesian network

How to Cite this Article

Alosaimi, W. A., Binmahfoudh, A., Alroobaea, R., & Zaguia, A. (2019). Location Prediction in a Smart Environment. International Journal of Advanced Computer Science and Applications, 10(3). https://doi.org/10.14569/IJACSA.2019.0100334

Alosaimi, Wael Ali, et al.. "Location Prediction in a Smart Environment." International Journal of Advanced Computer Science and Applications, vol. 10, no. 3, 2019, https://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},
  volume    = {10},
  number    = {3},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Wael Ali Alosaimi and Ahmed Binmahfoudh and Roobaea Alroobaea and Atef Zaguia},
  doi       = {10.14569/IJACSA.2019.0100334},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100334}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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