Nature Inspired Computing for Data Science

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.
- Hakimiliki:
- 2020 Springer
Book Details
- Book Quality:
- ISBN-13:
- 9783030338206
- Publisher:
- Springer International Publishing
- Date of Addition:
- 2020-06-03T04:27:33Z
- Lugha:
- English
- Kategoria:
- Computers and Internet, Nonfiction, Technology,
- Usage Restrictions:
- This is a copyrighted book.
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