| 书目名称 | Nature Inspired Computing for Data Science | | 编辑 | Minakhi Rout,Jitendra Kumar Rout,Himansu Das | | 视频video | | | 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 |
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发表于 2025-3-21 19:54:42
