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

ISBN 10: 3030338193 / ISBN 13: 9783030338190

Editore: Springer, 2020

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Dati bibliografici

• Titolo: Nature Inspired Computing for Data Science (Studies in Computational Intelligence, 871)
• Editore: Springer
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030338193
• ISBN 13: 9783030338190
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

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.