International Journal of Data Science and Analytics - Springer.
The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with.
At Springer Nature we want to enable all of our authors and journals to publish the best research, which includes achieving community best practices in the sharing and archiving of research data - Springer Nature Research Data Support enables researchers to do this quickly and securely.
Springer Open: Publication type: Journals: ISSN: 21961115: Coverage: 2015-ongoing: Scope: 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 going.
The special tracks will significantly expand the scope of BigData Conference to include innovative contributions that cover the entire lifecycle of big data research: (1) vision papers to point out emerging challenges, (2) data sets and benchmarks (summarized by short papers) that enable innovative big data research, (3) technical papers that describe significant research output, (4.
Given that big data have substantially changed the traditional tourism research based on traditional data, a comprehensive review on such sunrise research, i.e., using big data in tourism research, is extremely desired. On the one hand, although facing a growing volume of publications, this sunrise research field was still not very clearly known by potential researchers. For example, it was.
Big Data refers to large and disparate volumes of data generated by people, applications and machines. It is gaining increasing attention from a variety of domains, including education. What are the challenges of engaging with Big Data research in education? This paper identifies a wide range of critical issues that researchers need to consider when working with Big Data in education. The.
Big Data is spawning new areas of research, new methods and tools, and new insights into urban science. This edited volume presents theoretical and empirical works around the opportunities and challenges of using Big Data for understanding urban patterns and dynamics. The volume is intended for researchers, educators, and students who are working in this relatively new area and outlines many.