Nature Inspired Computing for Data Science (1st ed. 2020) (Studies in Computational Intelligence #871)
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- 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.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030338206
- Related ISBNs:
- 9783030338190
- Publisher:
- Springer International Publishing
- Date of Addition:
- 06/02/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Himansu Das
- Edited by:
- Jitendra Kumar Rout
- Edited by:
- Minakhi Rout
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- by Himansu Das
- by Minakhi Rout
- by Jitendra Kumar Rout
- in Nonfiction
- in Computers and Internet
- in Technology