Publications: Pattern Recognition and Data Mining

Modelling dynamics of urban mobility for predictive surveillance of crime

The study of urban dynamics is to understand and analyse the dynamic properties of a city in the spatio-temporal domain. It includes the daily routines of the inhabitants, their movement patterns, g

human mobility Prediction Modelling Optimization Crime Data Mining Pattern Recognition and Data Mining ubiquitous computing Database Management mobility Pattern recognition Data Mining
Show More

Learning spatiotemporal patterns for monitoring smart cities and infrastructure

Recent advances in the Internet of Things (IoT) have changed the way we interact with the world. The ability to monitor and manage objects in the physical world electronically makes it possible to b

Smart city Device-Free Pattern recognition Spatiotemporal data Parking Trajectory Pattern Recognition and Data Mining ubiquitous computing Analysis of Algorithms and Complexity device Ubiquitous Data Mining city Complexity trajectory Spatiotemporal
Show More
Keywords

© 2021 Flora Salim - CRUISE Research Group.