| 书目名称 | Nature Inspired Computing for Data Science |
| 编辑 | Minakhi Rout,Jitendra Kumar Rout,Himansu Das |
| 视频video | http://file.papertrans.cn/663/662001/662001.mp4 |
| 概述 | Focuses on the advances in nature-inspired computing and its value in data science.Presents contributions from various fields of computational intelligence, machine learning, deep learning, and nature |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2020 |
| 关键词 | Nature Inspired Computing; Optimization Techniques; Data Science; Data Analytics; Big Data |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-33820-6 |
| isbn_softcover | 978-3-030-33822-0 |
| isbn_ebook | 978-3-030-33820-6Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手机版|小黑屋|
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