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ISSN Print: 2472-2200
Frequency: Bimonthly
ISSN Online: 2472-2235
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International Journal on Data Science and Technology (IJDST) publishes papers in the field of data building, mining, securing and analyzing concepts and techniques. The journal presents original papers, reviews and letters. The main goal of this journal is to advance the understanding the concept of data security and analysis in distributed environments. The journal is addressed to data science and other interested topic in data mining, analysis and security in Big data. The topics related to this journal include but are not limited to:
Computer science
Computational mathematics
Computer engineering and scientific computing for programmer
Data and web mining
Big data security and analysis
Data science
Knowledge extraction and knowledge management
Applications of computer science in modeling
Visualization and multimedia
Data and information systems
Internet and distributed computer systems
Semantic web technologies and Social semantic web
Graphics and imaging
Bio-informatics
Computational mathematics
Computer vision
Digital systems
Computational topology
Information personalization
Network security
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Editor-in-Chief
School of Computer Science and Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India
Editorial Board
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Irshad Ullah Education Department, Government of Khyber Pakhtunkhwa
Khyber Pakhtunkhwa, Pakistan
Md Imran Alam
Department Of Computer Science, Millia Institute Of Technology, B N Mandal University
Bhagalpur, Bihar, India
Mahmoud K. Okasha
Department of Statistics, Al Azhar University of Gaza
Gaza, Palestine, Palestinian Territories
Peer Reviewers
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Ali Ghorbanian
Department of Industrial Engineering, Esfarayen University of Technology
Esfarayen, North Khorasan, Iran
Emmanuel Dada
Department of Computer Engineering, University of Maiduguri
Maiduguri, Borno, Nigeria
Yan Bin Wang
Department of Computer Science, Chinese Academy of Sciences
Beijing, China
Guangtao Wang
School of Computer Engineering, Nanyang Technological University
Singapore
ADDRESS
Science Publishing Group
548 FASHION AVENUE
NEW YORK, NY 10018
U.S.A.
Tel: (001)347-688-8931