A systematic literature review and future perspectives for handling big data analytics in COVID-19 diagnosis

N Tenali, GRM Babu - New Generation Computing, 2023 - Springer
In today's digital world, information is growing along with the expansion of Internet usage
worldwide. As a consequence, bulk of data is generated constantly which is known to be …

Integration of semantics into sensor data for the IoT: A systematic literature review

B Sejdiu, F Ismaili, L Ahmedi - International Journal on Semantic …, 2020 - igi-global.com
The internet of things (IoT) as an evolving technology represents an active scientific
research field in recognizing research challenges associated with its application in various …

Data analytics in industry 4.0: A survey

L Duan, L Da Xu - Information Systems Frontiers, 2021 - Springer
Industry 4.0 is the fourth industrial revolution for decentralized production through shared
facilities to achieve on-demand manufacturing and resource efficiency. It evolves from …

Distributed query processing in the edge-assisted IoT data monitoring system

Z Cai, T Shi - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The massive amount of data generated by the Internet-of-Things (IoT) devices places
enormous pressure on sensory data query processing. Due to the limitations of computation …

Utility aware offloading for mobile-edge computing

R Bi, Q Liu, J Ren, G Tan - Tsinghua Science and Technology, 2020 - ieeexplore.ieee.org
Mobile-edge computing casts the computation-intensive and delay-sensitive applications of
mobile devices onto network edges. Task offloading incurs extra communication latency and …

Time series big data: a survey on data stream frameworks, analysis and algorithms

A Almeida, S Brás, S Sargento, FC Pinto - Journal of Big Data, 2023 - Springer
Big data has a substantial role nowadays, and its importance has significantly increased
over the last decade. Big data's biggest advantages are providing knowledge, supporting …

Deep matrix factorization for trust-aware recommendation in social networks

L Wan, F Xia, X Kong, CH Hsu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recent years have witnessed remarkable information overload in online social networks,
and social network based approaches for recommender systems have been widely studied …

Benchmarking big data architectures for social networks data processing using public cloud platforms

V Persico, A Pescapé, A Picariello, G Sperlí - Future Generation Computer …, 2018 - Elsevier
When considering popular On-line Social Networks (OSN) containing heterogeneous
multimedia data sources, the complexity of the underlying processing systems becomes …

Bibliometric behavior of big data and digital marketing as real-time multimedia

RIR Molina, MJS Ruiz, LCM Castro, NDL Raby… - Procedia Computer …, 2024 - Elsevier
Technological trends such as big data have generated interest in its application in digital
marketing, due to the ease of precision in business and in daily decision-making, where …

Machine-learning-based online distributed denial-of-service attack detection using spark streaming

B Zhou, J Li, J Wu, S Guo, Y Gu… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
In order to cope with the increasing number of cyber attacks, network operators must monitor
the whole network situations in real time. Traditional network monitoring method that usually …