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Titlebook: Nature Inspired Computing for Data Science; Minakhi Rout,Jitendra Kumar Rout,Himansu Das Book 2020 Springer Nature Switzerland AG 2020 Nat

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發(fā)表于 2025-3-21 19:54:42 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nature Inspired Computing for Data Science
編輯Minakhi Rout,Jitendra Kumar Rout,Himansu Das
視頻videohttp://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
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Nature Inspired Computing for Data Science;  Minakhi Rout,Jitendra Kumar Rout,Himansu Das Book 2020 Springer Nature Switzerland AG 2020 Nat
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
關(guān)鍵詞Nature Inspired Computing; Optimization Techniques; Data Science; Data Analytics; Big Data
版次1
doihttps://doi.org/10.1007/978-3-030-33820-6
isbn_softcover978-3-030-33822-0
isbn_ebook978-3-030-33820-6Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:14:00 | 只看該作者
978-3-030-33822-0Springer Nature Switzerland AG 2020
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發(fā)表于 2025-3-22 02:32:47 | 只看該作者
Nature Inspired Computing for Data Science978-3-030-33820-6Series ISSN 1860-949X Series E-ISSN 1860-9503
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https://doi.org/10.1007/978-3-030-33820-6Nature Inspired Computing; Optimization Techniques; Data Science; Data Analytics; Big Data
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發(fā)表于 2025-3-22 19:30:47 | 只看該作者
An Evolutionary Algorithm Based Hybrid Parallel Framework for Asia Foreign Exchange Rate Prediction has already been trained using LMS algorithm. We have primarily focused on Asia foreign exchange rate prediction for which, we have considered six Forex data set to validate the model and the study reveals that it outperforms than other models.
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Book 2020nition, 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.
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Book 2020niques. 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 recog
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