Nonlinear Markov Process For Big Spatial Data

Authors

  • Taoufik DOUHI, Abdelhafid SERGHINI

Abstract

Geodata development is among the major topics of this decade, due to the ubiquitous use of large datasets and spatial data applications provided with geolocation properties. This processing is widely used in practical areas such as e-commerce services by presenting wisely the needs of consumers based on examined spatial attributes, also in the field of medicine for tracking the spread of a disease in a geographic area, which give meaning of the observed objects. The main objective of this study is to provides a generic model for real time data analysis based on nonlinear Markov process.

Published

2020-11-01

Issue

Section

Articles