We broad an expanding connected and computerized community. Smart environments embody this tendency by associating computers and other devices with everyday settings and prevalent tasks. Predictive analysis in smart environment (PASE) helps planning and making a higher cognitive process associated with controlling smart devices using different analysis models. Administration element is associated with context-aware application which is used in a variety of industries, and can be relevant and applied in lots of sectors including Retails, Pharmaceuticals, Healthcare, Government and Public sectors. The main contribution of this paper is presenting results of a Systematic Literature Review (SLR) that feature the various models applied in analyzing data collected from smart devices, sensor-enabled and networked devices, and also the significant role of integrating an administration element to administrate the use of the applications.
CITATION STYLE
Krichene, M., Khabou, N., & Rodriguez, I. B. (2023). Prediction in Smart Environments and Administration: Systematic Literature Review. In Lecture Notes in Networks and Systems (Vol. 655 LNNS, pp. 36–47). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28694-0_4
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