Nature Inspired Computing for Data Science

Minakhi Rout

ISBN 10: 3030338193 / ISBN 13: 9783030338190

Editore: Springer International Publishing, Springer International Publishing Jan 2020, 2020

Riguardo questo articolo

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch.

Codice articolo 9783030338190

Dati bibliografici

• Titolo: Nature Inspired Computing for Data Science
• Editore: Springer International Publishing, Springer International Publishing Jan 2020
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3030338193
• ISBN 13: 9783030338190
• Rilegatura: Buch
• Condizione: Neu

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.