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Proceedings of Data Analytics and Management : ICDAM 2025, Volume 4 / edited by Abhishek Swaroop, Bal Virdee, Sergio Duarte Correia, Zdzislaw Polkowski.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Swaroop, Abhishek.
Contributor:
Virdee, Bal.
Correia, Sergio Duarte.
Polkowski, Zdzislaw.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1601
Language:
English
Subjects (All):
Computational intelligence.
Quantitative research.
Telecommunication.
Computational Intelligence.
Data Analysis and Big Data.
Communications Engineering, Networks.
Local Subjects:
Computational Intelligence.
Data Analysis and Big Data.
Communications Engineering, Networks.
Physical Description:
1 online resource (831 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2025), held at London Metropolitan University, London, UK,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.
Contents:
Mitigating 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.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-03527-9
9783032035271
OCLC:
1551399277

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