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020 _a9783031535529
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024 7 _a10.1007/978-3-031-53552-9
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072 7 _aCOM004000
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245 1 0 _aData Analytics in System Engineering
_h[electronic resource] :
_bProceedings of 7th Computational Methods in Systems and Software 2023, Vol. 3 /
_cedited by Radek Silhavy, Petr Silhavy.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXIV, 460 p. 247 illus., 157 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v910
505 0 _aInterpretable 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.
520 _aThese 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.
650 0 _aComputational intelligence.
_964052
650 0 _aSoftware engineering.
_933953
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aSoftware Engineering.
_933953
700 1 _aSilhavy, Radek.
_eeditor.
_0(orcid)0000-0002-5637-8796
_1https://orcid.org/0000-0002-5637-8796
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_4http://id.loc.gov/vocabulary/relators/edt
_971182
700 1 _aSilhavy, Petr.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_971183
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031535512
776 0 8 _iPrinted edition:
_z9783031535536
830 0 _aLecture Notes in Networks and Systems,
_x2367-3389 ;
_v910
856 4 0 _uhttps://doi.org/10.1007/978-3-031-53552-9
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912 _aZDB-2-SXIT
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