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Titlebook: Data-Centric Business and Applications; Evolvements in Busin Natalia Kryvinska,Michal Gregu? Book 2020 Springer Nature Switzerland AG 2020

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書(shū)目名稱(chēng)Data-Centric Business and Applications
副標(biāo)題Evolvements in Busin
編輯Natalia Kryvinska,Michal Gregu?
視頻videohttp://file.papertrans.cn/264/263280/263280.mp4
概述Explores various aspects of data engineering and information processing.Covers a broad range of relevant topics, e.g. information generation, representation, structuring, organization, storage, retrie
叢書(shū)名稱(chēng)Lecture Notes on Data Engineering and Communications Technologies
圖書(shū)封面Titlebook: Data-Centric Business and Applications; Evolvements in Busin Natalia Kryvinska,Michal Gregu? Book 2020 Springer Nature Switzerland AG 2020
描述.This book explores various aspects of data engineering and information processing. In this second volume, the authors assess the challenges and opportunities involved in doing business with information. Their contributions on business information processing and management reflect diverse viewpoints – not only technological, but also business and social.. .As the global marketplace grows more and more complex due to the increasing availability of data, the information business is steadily gaining popularity and has a huge impact on modern society. Thus, there is a growing need for consensus on how business information can be created, accessed, used and managed.?.
出版日期Book 2020
關(guān)鍵詞Data-centric Business; Data-driven Business Processes; Data-centric Architectures; Data- driven Optimis
版次1
doihttps://doi.org/10.1007/978-3-030-19069-9
isbn_softcover978-3-030-19068-2
isbn_ebook978-3-030-19069-9Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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978-3-030-19068-2Springer Nature Switzerland AG 2020
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B. J. Haupt,K. Stattegger,D. Seidove and categorize) information that we can get for the help of the presented techniques and available technologies, including the development of their models of access to user data, as well as the methods of interpretation and use of the data obtained. The “smart” pro-applications offered by the appl
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The History of Computed Tomographying and control to innovative wireless scenarios and include key challenges arising from the upcoming interconnection of massive numbers of devices, sensors and humans. The authors bridge the gap between performance modeling and real-life operational aspects, as well as they leverage measurement dat
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Roy H. Swatzell Jr,Virginia S. Pricetime. The notion of predictive analytics was introduced in the 20th century and become more and more expanded and applied in many fields like healthcare, business, supply chain management, telecommunications, and many others. The aim of this paper is a detailed literature analysis on Predictive Anal
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