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Titlebook: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications; Gilberto Rivera,Laura Cruz-Reyes,Alejandro Roset

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發(fā)表于 2025-3-21 20:02:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications
編輯Gilberto Rivera,Laura Cruz-Reyes,Alejandro Rosete
視頻videohttp://file.papertrans.cn/263/262683/262683.mp4
概述Introduces the theory of computational intelligence approaches and their development for data analytics.Collects the latest technological innovations and models related to data analytics and computati
叢書名稱Studies in Big Data
圖書封面Titlebook: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications;  Gilberto Rivera,Laura Cruz-Reyes,Alejandro Roset
描述.In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics...Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling...With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields...Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages..
出版日期Book 2023
關鍵詞Augmented Analytics; Big Data Environments; Case Studies and Applications; Data-driven Decisions; Data V
版次1
doihttps://doi.org/10.1007/978-3-031-38325-0
isbn_softcover978-3-031-38327-4
isbn_ebook978-3-031-38325-0Series ISSN 2197-6503 Series E-ISSN 2197-6511
issn_series 2197-6503
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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