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U&I Aware: A Framework Using Data Mining and Collision Detection to Increase Awareness for Intersection Users

An intersection safety system should adapt to the particular characteristics that identify an intersection, by mining traffic and collision data. Given the large amount of sensor data that are ob

Framework Data Mining Collision Detection Awareness Awareness for Intersection Users Collision

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

Mining human mobility patterns from pervasive spatial and temporal data

Recent advances in communication, sensors and processors have made pervasive systems more computationally powerful and increasingly popular. These systems are deployed everywhere all the time while

pervasive signals Spatio-temporal data trajectory prediction Graph Compression temporal segmentation Time series analysis trajectory Graph Pattern recognition Data Mining temporal

Context-aware mobility analytics and trip planning

The study of user mobility is to understand and analyse the movement of individuals in the spatial and temporal domains. Mobility analytics and trip planning are two vital components of user mobilit

Context-aware Mobility Accessible trip planning Wait time prediction Queue context prediction Heterogeneous data fusion Machine Learning Predictive analytics ubiquitous computing Pattern recognition Data Mining Trip Planning context data fusion Information Systems Analysis

Evolutionary multivariate time series prediction

Multivariate time series (MTS) prediction plays a significant role in many practical data mining applications, such as finance, energy supply, and medical care domains. Over the years, various predi

Neural Evolutionary and Fuzzy Computation Multivariate time series prediction Evolutionary algorithm Ensemble Learning Feature extraction Feature selection Single-objective optimization Multi-objective optimization Pattern recognition Data Mining Neural Fuzzy time series Multivariate Optimization

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

Spatiotemporal data mining: a survey on challenges and open problems

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advances and report a wealth of important prog

Spatiotemporal Data Mining survey challenges open problems

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