Using Scopus as the data source, we perform a thorough analysis of scholarly works published in the field of big data from 2008 to 2017. The objective of the work is to find the most cited articles in the given time frame, the citation trends, the authorship trends as well as the ...
a lot of effort has been pushed into Big Data research in the last 15 years. The objective of this Systematic Literature Review is to summarize the current state of the art of the previous 15 years of research about Big Data by providing answers...
Big Data & Society (BD&S)is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. ...
The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and go...
Read the latest articles of Big Data Research at ScienceDirect.com, Elsevier’s leading platform of peer-reviewed scholarly literature
Big data: methodological challenges and approaches for sociological analysis Sociology (2014), pp. 663-681 CrossrefView in ScopusGoogle Scholar [8] d. boyd, K. Crawford Critical questions for big data: provocations for a cultural, technological, and scholarly phenomenon Inf. Commun. Soc., 15 (...
For these cities, big data analytics is seen as a critical enabler and powerful driver in regard to the transformation of their ecosystem on several scales, including the way sustainability can be understood, applied, and planned. Undoubtedly, the main strength of the big data technology is the...
and applications of big scholarly data. The goal is to contribute to the birth of a community having a shared interest around big scholarly data and exploring it using knowledge discovery, data science and analytics, network science, and other appropriate technologies. The workshop will be a full...
These intermediary roles are suggested to continually adapt to enable greater value from data-driven smart farming to be captured by farmers. Addressing the gap between opportunity and reality of big data application for farm decision making has been suggested as a key area for scholarly concern. ...
A review and critical examination of more than sixty scholarly articles from the last four years focused on cybersecurity and the implementation of foundational AI techniques. The article were assessed based on several criteria: cybersecurity focus, AI techniques used, data sets, methods for reducing...