TY - JOUR
AU - 
AB - International Journal of Computer Applications (0975 – 8887) Volume 176 – No. 14, April 2020 S. S. Daodu E. Akinola Department of Computer Science Department of Computer Science University of Benin, Benin City Federal University of Technology, Akure of a Global System for Mobile communication network. The ABSTRACT predicted movement can then be used to increase the efficiency Location Prediction is an estimate of a location in which a user of location prediction. By using the predicted movement, the will be at a particular place at a particular time within a certain system can effectively allocate resources to the most probable probability. Location Prediction has gained prominence over cells instead of blindly allocating excessive resources in the the past decade which is due to improved technology in mobile cell neighborhood of a mobile user. Effective Allocation of communication. Classification of mobile users can be regular resources to mobile user improve resource utilization and or random which can be used to ascertain the pattern of the reduces latency. Broadcast program generation can also benefit user over a period of time which also helps in planning the from predicted mobility patterns since the data items can be movement of the user. 
TI - An Analysis of Location Prediction Models
JF - International Journal of Computer Applications
DO - 10.5120/ijca2020920063
DA - 2020-04-15
UR - https://www.deepdyve.com/lp/unpaywall/an-analysis-of-location-prediction-models-emiS7vd0I9
DP - DeepDyve
ER -