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DBLP is the world's most comprehensive open bibliographic data service in computer science

New IGI Global Journals Indexed in DBLP Computer Science Bibliography

By IGI Global on Feb 15, 2016
DBLP IGI Global is proud to announce that two of their outstanding reference journals are now included in the DBLP Computer Science Bibliography. DBLP, a service that provides information on major computer science journals and proceedings with a primary focus on database systems and logic programming, now indexes over 3 million publications. DBLP is the world's most comprehensive open bibliographic data service in computer science. The new journals included in DBLP are as follows:

International Journal of System Dynamics Applications (IJSDA)
Editor-in-Chief: Dr. Ahmad Taher Azar (Benha University, Egypt)
Published Quarterly, Est. 2012
The International Journal of System Dynamics Applications (IJSDA) publishes original scientific and quality research on the theory of and advances in dynamical systems with analyses of measure-theoretical and topological aspects. This interdisciplinary journal provides audiences with an extensive exploration of the perspectives and methods of system dynamics and system thinking, which are applied to systems in the fields of engineering, soft computing, economics, management, and medicine, among others.

View the full list of indices for IJSDA here: https://www.igi-global.com/journal/international-journal-system-dynamics-applications/51803#indices

International Journal of Rough Sets and Data Analysis (IJRSDA)
Editor-in-Chief: Dr. Nilanjan Dey (Techno India College of Technology, India)
Published Quarterly, Est. 2014
The International Journal of Rough Sets and Data Analysis (IJRSDA) is a multidisciplinary journal that publishes high-quality and significant research in all fields of rough sets, granular computing, and data mining techniques. Rough set theory is a mathematical approach concerned with the analysis and modeling of classification and decision problems involving vague, imprecise, uncertain, or incomplete information. Rough sets have been proposed for a variety of applications, including artificial intelligence and cognitive sciences, especially machine learning, knowledge discovery, data mining, expert systems, approximate reasoning, and pattern recognition.

View the full list of indices for IJRSDA here: https://www.igi-global.com/journal/international-journal-rough-sets-data/73546#indices

Sincere thanks to the committed Editors and contributors who helped to establish these publications as outstanding reference works in the field of information science and technology. View the full list of IGI Global journals indexed by DBLP.
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