ESM El-Alfy, SA Mohammed - Technology Analysis & Strategic …, 2020 - Taylor & Francis
The amalgamation of machine learning and big data has led to a revolution in data science with several influencing applications to various domains. To gain insights on the current …
JZ Zhang, PR Srivastava, D Sharma… - Expert Systems with …, 2021 - Elsevier
The research and practice of information systems have progressed by leaps and bounds due to the emergence of big data analytics and machine learning. The paper undertakes a …
The explosive growing number of data from mobile devices, social media, Internet of Things and other applications has highlighted the emergence of big data. This paper aims to …
Bibliometrics is a quantitative tool for the analysis of literature published in a scientific field. Using Scopus as the data source, we perform a thorough analysis of scholarly works …
W Ahmed, K Ameen - Library Hi Tech News, 2017 - emerald.com
Purpose The purpose of this paper is to define big data and draw its deep understanding. Moreover, trends of big data research in the field of library and information management are …
Recently, the popularity of big data as a research field has shown continuous and wide- scale growth. This study aims to capture the scientific structure and topic evolution of big …
A formal definition of Big Data based on its essential features | Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with us Advanced search A formal …
JR López-Robles, JR Otegi-Olaso… - … on Intelligent Data …, 2018 - Springer
Big Data has evolved from being an emerging topic to a growing research area in business, science and education fields. The Big Data concept has a multidimensional approach, and it …
The primary sources of big data nowadays are from cloud computing, social networks, and the internet of things, and henceforth the data analytics has gained popularity these days …