About this book series
The series "Studies in Big Data" (SBD) publishes new developments and advances in the various areas of Big Data- quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence including neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.
The books of this series are reviewed in a single blind peer review process.
Indexed by SCOPUS, EI Compendex, SCIMAGO and zbMATH.
All books published in the series are submitted for consideration in Web of Science.
- Electronic ISSN
- 2197-6511
- Print ISSN
- 2197-6503
- Series Editor
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- Janusz Kacprzyk
Book titles in this series
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A Gentle Introduction to Data, Learning, and Model Order Reduction
Techniques and Twinning Methodologies
Abstracted and indexed in
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- EI Compendex
- SCImago
- SCOPUS