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Titlebook: Model and Data Engineering; 9th International Co Klaus-Dieter Schewe,Neeraj Kumar Singh Conference proceedings 2019 Springer Nature Switzer

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書(shū)目名稱Model and Data Engineering
副標(biāo)題9th International Co
編輯Klaus-Dieter Schewe,Neeraj Kumar Singh
視頻videohttp://file.papertrans.cn/636/635829/635829.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Model and Data Engineering; 9th International Co Klaus-Dieter Schewe,Neeraj Kumar Singh Conference proceedings 2019 Springer Nature Switzer
描述.This book constitutes the refereed proceedings of the 9th International Conference on Model and Data Engineering, MEDI 2019, held in Toulouse, France, in October 2019..The 11 full papers and 7 short papers presented in this book were carefully reviewed and selected from 41 submissions. The papers cover broad research areas on both theoretical, systems and practical aspects. Some papers include mining complex databases, concurrent systems, machine learning, swarm optimization, query processing, semantic web, graph databases, formal methods, model-driven engineering, blockchain, cyber physical systems, IoT applications, and smart systems..
出版日期Conference proceedings 2019
關(guān)鍵詞concurrent systems; cyber physical systems; data engineering; data modeling; database theory; data mining
版次1
doihttps://doi.org/10.1007/978-3-030-32065-2
isbn_softcover978-3-030-32064-5
isbn_ebook978-3-030-32065-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Model and Data Engineering978-3-030-32065-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/635829.jpg
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0302-9743 ms, machine learning, swarm optimization, query processing, semantic web, graph databases, formal methods, model-driven engineering, blockchain, cyber physical systems, IoT applications, and smart systems..978-3-030-32064-5978-3-030-32065-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Research on the Effectiveness of Individualized Feedback on Voting Behavior,icates that the feedback is useful in helping voters make decisions. That is, they incorporated the feedback into their voting. This study sheds further light on their rating behavior. However, the feedback impacts individuals differently. Some raters adjust their decisions, while the others remain unchanged.
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