Importance of small probability events in big data: Information measures, applications, and challenges
In many applications (eg, anomaly detection and security systems) of smart cities, rare
events dominate the importance of the total information on big data collected by the Internet …
events dominate the importance of the total information on big data collected by the Internet …
A probabilistic model for assigning queries at the edge
Data management at the edge of the network can increase the performance of applications
as the processing is realized close to end users limiting the observed latency in the …
as the processing is realized close to end users limiting the observed latency in the …
[HTML][HTML] A hybrid analysis of LBSN data to early detect anomalies in crowd dynamics
Abstract Undoubtedly, Location-based Social Networks (LBSNs) provide an interesting
source of geo-located data that we have previously used to obtain patterns of the dynamics …
source of geo-located data that we have previously used to obtain patterns of the dynamics …
Attention to the variation of probabilistic events: Information processing with message importance measure
Different probabilities of events attract different attention in many scenarios such as anomaly
detection and security systems. To characterize the events' importance from a probabilistic …
detection and security systems. To characterize the events' importance from a probabilistic …
Towards Big data processing in IoT: network management for online edge data processing
Heavy data load and wide cover range have always been crucial problems for internet of
things (IoT). However, in mobile-edge computing (MEC) network, edge data can be partly …
things (IoT). However, in mobile-edge computing (MEC) network, edge data can be partly …