J Wu, J Wang, S Nicholas, E Maitland, Q Fan - Journal of medical Internet …, 2020 - jmir.org
Background In the prevention and control of infectious diseases, previous research on the application of big data technology has mainly focused on the early warning and early …
J Wang, Y Wu, N Yen, S Guo… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Disaster management is a crucial and urgent research issue. Emergency communication networks (ECNs) provide fundamental functions for disaster management, because …
S Kumar, M Singh - Big data mining and analytics, 2018 - ieeexplore.ieee.org
In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this …
B Furht, F Villanustre, B Furht, F Villanustre - Big data technologies and …, 2016 - Springer
In this chapter we present the basic terms and concepts in Big Data computing. Big data is a large and complex collection of data sets, which is difficult to process using on-hand …
Natural hazards result in devastating losses in human life, environmental assets and personal, and regional and national economies. The availability of different big data such as …
BK Jha, GG Sivasankari… - 2020 Fourth international …, 2020 - ieeexplore.ieee.org
A retail sector is a group of organization or people who sell goods or services for gaining income. Fraud is wrongful or criminal activities for the economic and personal benefits …
H Smaya - Open Access Library Journal, 2022 - scirp.org
Big data has appeared to be one of the most addressed topics recently, as every aspect of modern technological life continues to generate more and more data. This study is …
S Han, S Xu, W Meng, C Li - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
This paper investigates an agile confidential transmission strategy combining big data driven cluster and opportunistic beamforming (OBF) in the scenario where the same huge …
This paper analyzes various machine learning algorithms to predict student failure in a specific educational dataset and a specific environment. The paper handles the prediction of …