LEADER 03530nam 22006015 450 001 9911047823003321 005 20251022130432.0 010 $a3-032-03527-9 024 7 $a10.1007/978-3-032-03527-1 035 $a(MiAaPQ)EBC32373400 035 $a(Au-PeEL)EBL32373400 035 $a(CKB)41705294000041 035 $a(DE-He213)978-3-032-03527-1 035 $a(EXLCZ)9941705294000041 100 $a20251022d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of Data Analytics and Management $eICDAM 2025, Volume 4 /$fedited by Abhishek Swaroop, Bal Virdee, Sergio Duarte Correia, Zdzislaw Polkowski 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (831 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1601 311 08$a3-032-03526-0 327 $aMitigating Social Engineering Attacks Through AI and Behavioral Analytics in Human-Centric Cybersecurity -- Evaluating the Effectiveness of Generative Adversarial Networks (GANs) in Creating Synthetic Datasets for Healthcare Applications -- Comprehensive Approach to Vietnamese Scene Text Recognition: Challenges, Models and Framework Development -- Trusted Federated Learning: A Sustainable Framework for Edge Intelligence in Healthcare Applications -- Optimizing Sentiment Classification of Product Reviews with NLP and Machine Learning -- Delay-Optimized Approximate Realization Technique for Chaotic Systems (DART) -- Rationality in Changing Online Purchase Decisions: The impact of Robotic process Automation Among Youngsters -- Improving Industrial Control System Security: A Data Balanced Machine Learning Approach -- MLMCID: Machine Learning for Multi-Class Intrusion Detection Using the CIC-loT-2023 Dataset -- Study of Driver Behaviour Due to Diverted Attention Using Vienna Testing System. 330 $aThis book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK, during June 2025. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into ten volumes. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1601 606 $aComputational intelligence 606 $aQuantitative research 606 $aTelecommunication 606 $aComputational Intelligence 606 $aData Analysis and Big Data 606 $aCommunications Engineering, Networks 615 0$aComputational intelligence. 615 0$aQuantitative research. 615 0$aTelecommunication. 615 14$aComputational Intelligence. 615 24$aData Analysis and Big Data. 615 24$aCommunications Engineering, Networks. 676 $a006.3 700 $aSwaroop$b Abhishek$01585749 701 $aVirdee$b Bal$01585751 701 $aCorreia$b Sergio Duarte$01585750 701 $aPolkowski$b Zdzislaw$0942570 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047823003321 996 $aProceedings of Data Analytics and Management$93871371 997 $aUNINA