Results 241 to 250 of about 557,766 (311)
Statistical inference and applications of a new transforming weibull distribution. [PDF]
Sci RepLi X, Gong Q, Chen T.
europepmc +1 more source
Regional differences, spatial temporal evolution and dynamic evolution of food security in China. [PDF]
Sci RepLiu T, Shen W.
europepmc +1 more source
Estimating the causal effect of redlining on present-day air pollution. [PDF]
BiometricsZhou X, Yang S, Reich BJ.
europepmc +1 more source
Location Privacy Protection Method based on Variable-Order Markov Prediction Model
2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021), 2021 ∗ Abstract: Recently, the usage scenarios of location-based services are becoming increasingly complex. Attackers can reconstruct a user’s trajectory by collecting continuous query information issued during the user’s movement. However, existing location
Simin Zhu, Xin Lv, Lin Yu
semanticscholar +3 more sources
Predicting next location using a variable order Markov model
Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoStreaming, 2014 Due to the booming industry of location-based services, the analysis of human location histories is increasingly important. Next location prediction is essential to many location-based services. Predicting user's next location usually involves obtaining significant places from the history trajectories and predicting location with a certain statistic ...
Jie Yang +4 more
semanticscholar +3 more sources
Location Prediction Based on Variable-order Markov Model and User's Spatio-temporal Rule
2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018 Location based services are widely used and can bring convenience to people's life. Improving the accuracy of location prediction is important for the service quality. We propose a location predication method VMSTPM which combining the variable order Markov model and user’s spatio-temporal rule.
Ying Xia +3 more
semanticscholar +3 more sources