Editors:
- Presents recent research on intelligent and fuzzy techniques in big data analytics and decision-making big data analytics
- Includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference held in Istanbul, Turkey, July 23–25, 2019
- Features interdisciplinary research on fuzzy & intelligent systems and real complex systems
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1029)
Conference series link(s): INFUS: International Conference on Intelligent and Fuzzy Systems
Conference proceedings info: INFUS 2019.
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Table of contents (161 papers)
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Front Matter
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Theoretical Research on Intelligent and Fuzzy Systems
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Front Matter
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Other Volumes
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Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
About this book
This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.
Editors and Affiliations
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Management Faculty, Istanbul Technical University, Istanbul, Turkey
Cengiz Kahraman, Sezi Cevik Onar, Irem Ucal Sari
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Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey
Selcuk Cebi
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Management Faculty, Istanbul Technical University, İstanbul, Turkey
Basar Oztaysi
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Industrial Engineering Department, Galatasaray University, Istanbul, Turkey
A. Cagri Tolga
Bibliographic Information
Book Title: Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
Book Subtitle: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019
Editors: Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-23756-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-23755-4Published: 06 July 2019
eBook ISBN: 978-3-030-23756-1Published: 05 July 2019
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIX, 1392
Number of Illustrations: 242 b/w illustrations
Topics: Computational Intelligence, Data Engineering, Energy Security