| 书目名称 | Data Science: New Issues, Challenges and Applications | | 编辑 | Gintautas Dzemyda,Jolita Bernatavičienė,Janusz Kac | | 视频video | | | 概述 | Presents a wide range of selected inspiring and interesting state-of-the-art contributions on Data Science.Includes sixteen successful examples of recent advances in the rapidly evolving field of Data | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science.. .Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field.. .In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocom | | 出版日期 | Book 2020 | | 关键词 | Data Science; Computational Intelligence; Intelligent Systems; Computational Thinking; Intelligent Decis | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-39250-5 | | isbn_softcover | 978-3-030-39252-9 | | isbn_ebook | 978-3-030-39250-5Series 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 19:44:31
