03806nam a22005175i 4500 978-3-031-53552-9 DE-He213 20251030111441.0 cr nn 008mamaa 240223s2024 sz | s |||| 0|eng d 9783031535529 978-3-031-53552-9 10.1007/978-3-031-53552-9 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Data Analytics in System Engineering [electronic resource] : Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 3 / edited by Radek Silhavy, Petr Silhavy. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XIV, 460 p. 247 illus., 157 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 910 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. 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. Computational intelligence. 64052 Software engineering. 33953 Computational Intelligence. 64052 Software Engineering. 33953 Silhavy, Radek. editor. (orcid)0000-0002-5637-8796 https://orcid.org/0000-0002-5637-8796 edt http://id.loc.gov/vocabulary/relators/edt 71182 Silhavy, Petr. editor. edt http://id.loc.gov/vocabulary/relators/edt 71183 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031535512 Printed edition: 9783031535536 Lecture Notes in Networks and Systems, 2367-3389 ; 910 https://doi.org/10.1007/978-3-031-53552-9 ZDB-2-INR ZDB-2-SXIT 57837 57837