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Soft Computing in Data Analytics : Proceedings of International Conference on SCDA 2018 / edited by Janmenjoy Nayak, Ajith Abraham, B. Murali Krishna, G. T. Chandra Sekhar, Asit Kumar Das

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Advances in Intelligent Systems and Computing ; 758 | SpringerLink BücherPublisher: Singapore : Springer Singapore, 2019Description: Online-Ressource (XXVII, 859 p. 376 illus., 265 illus. in color, online resource)ISBN:
  • 9789811305146
Subject(s): Additional physical formats: 9789811305139 | 9789811305153 | Printed edition: 9789811305139 | Printed edition: 9789811305153 DDC classification:
  • 006.3
LOC classification:
  • Q342
DOI: DOI: 10.1007/978-981-13-0514-6Online resources: Summary: The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branchesSummary: Preface -- Acknowledgements -- About the Editors -- Conference Organizing Committee -- Technical Reviewers -- Table of Contents -- 82 Chapters -- Author IndexPPN: PPN: 1030105251Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT
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Reproduktion. (Springer eBook Collection. Intelligent Technologies and Robotics)

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