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Titlebook: Data Management Technologies and Applications; 7th International Co Christoph Quix,Jorge Bernardino Conference proceedings 2019 Springer Na

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書目名稱Data Management Technologies and Applications
副標題7th International Co
編輯Christoph Quix,Jorge Bernardino
視頻videohttp://file.papertrans.cn/263/262848/262848.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Data Management Technologies and Applications; 7th International Co Christoph Quix,Jorge Bernardino Conference proceedings 2019 Springer Na
描述This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and Applications, DATA 2018, held in Porto, Portugal, in July 2018. The 9 revised full papers were carefully reviewed and selected from 69 submissions. The papers deal with the following topics: databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; evolutionary algorithms; Field Programmable Gate Array (FPGA); genetic algorit
版次1
doihttps://doi.org/10.1007/978-3-030-26636-3
isbn_softcover978-3-030-26635-6
isbn_ebook978-3-030-26636-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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https://doi.org/10.1007/978-3-030-26636-3artificial intelligence; evolutionary algorithms; Field Programmable Gate Array (FPGA); genetic algorit
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,Ann?herung an einen Arbeitsbegriff,DB) allow simple and rapid retrieval of complex graph structures that are difficult to model in traditional information systems based on a relational DBMS. GDB are designed to exploit relationships in data, which means they can uncover patterns difficult to detect using traditional methods. We intro
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Traditionelle und moderne Medien im Coachingce for trading data. Within the marketplace, producers can present their offerings for data access and algorithms, whereas consumers are able to browse through the offerings, to subscribe to corresponding services, and to use them after being approved. As a specific property, the presented approach
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Robert Wegener,Agnès Fritze,Michael Loebberthood. Optimisation techniques currently available are capable of providing highly efficient and accurate results however, performance potential can often be restricted when dealing with limited training resources. A novel approach is proposed with this work known as Synthetic Instance Model Optimisa
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