| 书目名称 | Nature-Inspired Computation in Data Mining and Machine Learning | | 编辑 | Xin-She Yang,Xing-Shi He | | 视频video | | | 概述 | Provides a timely review and summary of the latest developments in nature-inspired computation and its application in data mining and machine learning.Discusses key directions in topics such as nature | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details.. .Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and manageme | | 出版日期 | Book 2020 | | 关键词 | Nature-inspired Algorithm; Computational Intelligence; Bio-inspired Computation; Bioinformatics; Data Mi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-28553-1 | | isbn_softcover | 978-3-030-28555-5 | | isbn_ebook | 978-3-030-28553-1Series 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 16:35:39
