A systematic literature review and future perspectives for handling big data analytics in COVID-19 diagnosis
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 …
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
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 …
research field in recognizing research challenges associated with its application in various …
Data analytics in industry 4.0: A survey
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 …
facilities to achieve on-demand manufacturing and resource efficiency. It evolves from …
Distributed query processing in the edge-assisted IoT data monitoring system
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 …
enormous pressure on sensory data query processing. Due to the limitations of computation …
Utility aware offloading for mobile-edge computing
Mobile-edge computing casts the computation-intensive and delay-sensitive applications of
mobile devices onto network edges. Task offloading incurs extra communication latency and …
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
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 …
over the last decade. Big data's biggest advantages are providing knowledge, supporting …
Deep matrix factorization for trust-aware recommendation in social networks
Recent years have witnessed remarkable information overload in online social networks,
and social network based approaches for recommender systems have been widely studied …
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
When considering popular On-line Social Networks (OSN) containing heterogeneous
multimedia data sources, the complexity of the underlying processing systems becomes …
multimedia data sources, the complexity of the underlying processing systems becomes …
Bibliometric behavior of big data and digital marketing as real-time multimedia
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 …
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
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 …
the whole network situations in real time. Traditional network monitoring method that usually …