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Springer Nature Inspired Computing for Data Science: 871 (Studies in Computational Intelligence, 871)

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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
24 January 2020
Listed Since
19 September 2019

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