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International Journal of Data Analytics (IJDA)
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Editor(s)-in-Chief: Bruce Qiang Swan (SUNY Buffalo State, USA)
Published: Continuous Volume
Copyright: ©2020
DOI: 10.4018/IJDA
ISSN: 2644-1705
EISSN: 2644-1713
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DescriptionThe International Journal of Data Analytics (IJDA) publishes the latest and high-quality research papers and methodologies in data analytics. It covers a wide range of fields including statistics, biostatistics, big data, artificial intelligence, business, economics and finance, biological science, medical and medicine research etc. Papers on statistics, biostatistics, econometrics, computational methodologies, and numerical simulations are especially welcome if they are immediately applicable to the journal's key topics of interest. The journal also welcomes research on big data in business today, including, but not limited to the applications of new big data technologies, data mining techniques, Internet commerce, and cloud computations. Paper authors will answer research questions such as: What are the data analytical problems? What are the appropriate strategies and algorithms used to solve them? How different are they from previous literatures? How effective are they? How do these ideas apply to problems in other related fields?
Contents
Volume 5, Issue 1
Volume 4, Issue 1
Volume 3, Issue 1
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 2
Volume 1, Issue 1
MissionThe International Journal of Data Analytics (IJDA) publishes and disseminates knowledge on an international basis in the areas of data analytics, advances the frontier of data analytics to the applications in diverse fields, and provides a forum for practitioners and researchers in academic, business, and governmental organizations to exchange and share research ideas and innovative methodologies. The journal brings together academic researchers and industry practitioners to exchange ideas, discusses new skills and algorithms, and promotes multidisciplinary collaborations in different fields.
Journal Indices
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