Nature Inspired Computing for Data Science / Studies in Computational Intelligence Bd.871 (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2019, 1st ed. 2020, 295 Seiten, Englisch
- Herausgegeben: Minakhi Rout, Jitendra Kumar Rout, Himansu Das
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030338207
- ISBN-13: 9783030338206
- Erscheinungsdatum: 26.11.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 11 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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