Nature Inspired Computing for Data Science
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: | 9783030338190 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 295 |
| Produktart: | Gebunden |
| Herausgeber: | Das, Himansu Rout, Jitendra Kumar Rout, Minakhi |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 24.01.2020 |
| Schlagworte: | Big Data Data Analytics Data Science Nature Inspired Computing Optimization Techniques |