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Titlebook: Data Science: New Issues, Challenges and Applications; Gintautas Dzemyda,Jolita Bernatavi?ien?,Janusz Kac Book 2020 Springer Nature Switze

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書(shū)目名稱Data Science: New Issues, Challenges and Applications
編輯Gintautas Dzemyda,Jolita Bernatavi?ien?,Janusz Kac
視頻videohttp://file.papertrans.cn/264/263144/263144.mp4
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
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Data Science: New Issues, Challenges and Applications; Gintautas Dzemyda,Jolita Bernatavi?ien?,Janusz Kac Book 2020 Springer Nature Switze
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
關(guān)鍵詞Data Science; Computational Intelligence; Intelligent Systems; Computational Thinking; Intelligent Decis
版次1
doihttps://doi.org/10.1007/978-3-030-39250-5
isbn_softcover978-3-030-39252-9
isbn_ebook978-3-030-39250-5Series 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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W. Brunner,H. Irschik,K. Schlacher), and some other types of complex systems. Causality is an important concept in modeling; it helps to reveal the properties of the domain hidden from the outside observer. Great results of CPS engineering based on the perceived causality of specific domain—physical system. The subject domain of the
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