Overview
- Focuses on the advances in nature-inspired computing and its value in data science
- Presents contributions from various fields of computational intelligence, machine learning, deep learning, and nature-inspired computing to build intelligent systems for real-time data analytics
- Includes fundamentals, applications, algorithms and case studies of the advances and research in the fields of nature-inspired computing, data science and engineering
Part of the book series: Studies in Computational Intelligence (SCI, volume 871)
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Table of contents (12 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Nature Inspired Computing for Data Science
Editors: Minakhi Rout, Jitendra Kumar Rout, Himansu Das
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-33820-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-33819-0Published: 24 January 2020
Softcover ISBN: 978-3-030-33822-0Published: 24 January 2021
eBook ISBN: 978-3-030-33820-6Published: 26 November 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 295
Number of Illustrations: 35 b/w illustrations, 98 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Big Data, Artificial Intelligence