Data Science Letters

Data Science Letters (DSL) is an international, peer-reviewed; Open Access journal that publishes research articles on all aspects of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for data. The scholarly journal provides a free and unrestricted access to the published findings in the concerned domain. The removal of copyright barriers to the flow of scientific information under the norms of open access is aimed at informing and educating about the latest research in Data Science. Individual manuscripts submitted by authors are peer-reviewed by experts from related research area. The journal covers fields of: Big data cloud, mining and management; Big data storage, processing, sharing and visualization; Big data systems, tools, theory and applications; Business analytics, intelligence and mathematics; Computer science, hacking skills; Informatics and information systems and technology; Machine learning, web-based decision making; Management science, social sciences and statistics; Mathematical optimisation and mathematics of decision sciences; Multiple source data processing and integration; Semantic analysis; Network and social-graph analysis; Optimisation, performance measurement; Security and privacy; Social network analysis; System analysis and theory; Volume, velocity and variety of big data on cloud; Distributed computing; etc.

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Vol 3, No 1 (2018)

Cover Page

Table of Contents

Articles

V. Yousefipoor, M.H ‎Ameri J. Mohajeri, T.Eghlidos
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1-8
K. Gholamrezaei N. Nematbakhsh
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9-23
H. Koozehgar
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24-31
M. Chehelgerdi Samani , F.Safi Esfahani
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32-40
S. T. Tabibi, A. Bastanfard
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41-51