BN Silva, M Diyan, K Han - Deep learning: convergence to big …, 2019 - books.google.com
During the last few decades, with the emergence of smart things and technological advancements of embedded devices, Big Data (BD) and Big Data Analytics (BDA) have …
F Bajaber, R Elshawi, O Batarfi, A Altalhi… - Journal of Grid …, 2016 - Springer
Data is key resource in the modern world. Big data has become a popular term which is used to describe the exponential growth and availability of data. In practice, the growing …
The study of big data analytics (BDA) methods for the data-driven industries is gaining research attention and implementation in today's industrial activities, business intelligence …
The advent of healthcare information management systems (HIMSs) continues to produce large volumes of healthcare data for patient care and compliance and regulatory …
H Hu, Y Wen, TS Chua, X Li - IEEE access, 2014 - ieeexplore.ieee.org
Recent technological advancements have led to a deluge of data from distinctive domains (eg, health care and scientific sensors, user-generated data, Internet and financial …
M Chen, S Mao, Y Liu - Mobile networks and applications, 2014 - Springer
In this paper, we review the background and state-of-the-art of big data. We first introduce the general background of big data and review related technologies, such as could …
Long-established technological platforms are no longer able to address the data and processing requirements of the emerging data-intensive scientific paradigm. At the same …
A Davoudian, M Liu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby massive amounts of heterogeneous data are gathered from multiple sources, managed …
H Zahid, T Mahmood, A Morshed… - IEEE/CAA Journal of …, 2019 - ieeexplore.ieee.org
This paper focuses on facilitating state-of-the-art applications of big data analytics (BDA) architectures and infrastructures to telecommunications (telecom) industrial sector. Telecom …