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  • 1
    UID:
    almahu_9949709209502882
    Format: XIV, 460 p. 247 illus., 157 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9783031535529
    Series Statement: Lecture Notes in Networks and Systems, 910
    Content: These proceedings offer an insightful exploration of integrating data analytics in system engineering. This book highlights the essential role of data in driving innovation, optimizing processes, and solving complex challenges in the field. Targeted at industry professionals, researchers, and enthusiasts, this book serves as a comprehensive resource, providing actionable insights and showcasing transformative applications of data in engineering. It is a must-read for anyone keen on understanding and participating in the ongoing evolution of system engineering in our data-centric world.
    Note: Interpretable Rules with a Simplified Data Representation - a Case Study with the EMBER dataset -- Spatial econometric models: the pursuit of an accurate spatial structure with an application to labor market -- Use of Neighborhood-based Bridge Node Centrality Tuple for Preferential Vaccination of Nodes to Reduce the Number of Infected Nodes in a Complex Real-World Network -- Social Media Applications' Privacy Policies for facilitating Digital Living -- Modeling the Alienability of an Electronic Document -- Particular Analysis of Regression Effect Sizes Applied on Big Data Set -- Foreign Languages Teaching Technologies and Methods in Traditional and Distance Forms of Learning -- Application of Fuzzy Logic for Evaluating Student Learning Outcomes in E-Learning -- The meaning of business and software architecture in the enterprise architecture -- Research of the Correlation Between the Results of Detection the Liveliness of a Face and its Identification by Facial Recognition Systems -- Profit Prediction Model for Steel Enterprises Based on Input and Output Prices.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031535512
    Additional Edition: Printed edition: ISBN 9783031535536
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    edoccha_9961426864902883
    Format: 1 online resource (473 pages)
    Edition: First edition.
    ISBN: 9783031535529
    Series Statement: Lecture Notes in Networks and Systems Series ; Volume 910
    Additional Edition: Print version: Silhavy, Radek Data Analytics in System Engineering Cham : Springer International Publishing AG,c2024 ISBN 9783031535512
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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