Importance of small probability events in big data: Information measures, applications, and challenges

R She, S Liu, S Wan, K **ong, P Fan - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

A probabilistic model for assigning queries at the edge

K Kolomvatsos, C Anagnostopoulos - Computing, 2020 - Springer
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 …

[HTML][HTML] A hybrid analysis of LBSN data to early detect anomalies in crowd dynamics

RPD Redondo, C Garcia-Rubio, AF Vilas… - Future Generation …, 2020 - Elsevier
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 …

Attention to the variation of probabilistic events: Information processing with message importance measure

R She, S Liu, P Fan - Entropy, 2019 - mdpi.com
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 …

Towards Big data processing in IoT: network management for online edge data processing

S Wan, J Lu, P Fan, KB Letaief - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
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 …