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Book synopsis

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Full title: Nature Inspired Computing for Data Science
• Author: Himansu Das, Jitendra Kumar Rout
• Language: English
• Binding: Paperback
• Number of pages: 312
• EAN: 9783030338220
• ISBN: 3030338223
• ID: 33591146
• Publisher: Springer Nature Switzerland AG
• Weight: 476 g
• Dimensions: 235 × 155 × 17 mm
• Date of publishing: 24. January 2021

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