Nature Inspired Computing for Data Science
Format: Hardcover
ISBN13: 9783030338190
Hardcover|9783030338190
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Overview
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.
| ISBN-13 | 9783030338190 |
|---|---|
| ISBN-10 | 3030338193 |
| Weight | 1.35 Pounds |
| Dimensions | 6.14 x 0.75 x 9.21 In |
| List Price | $109.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | xii, 295 pages |
| Publisher | Springer |
| Published On | 2020-01-24 |
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