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Innovations in Data Analytics
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Innovations in Data Analytics : Selected Papers of ICIDA 2025, Volume 3

Book Details

Format Paperback / Softback
ISBN-10 3032277078
ISBN-13 9783032277077
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Jul 29th, 2026
Print length 583 Pages
Ksh 39,600.00
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This book presents a curated collection of peer-reviewed research papers from the 4th International Conference on Innovations in Data Analytics (ICIDA 2025), held at Eminent College of Management & Technology (ECMT), India, in collaboration with the International Knowledge Research Foundation, on 5–6 December 2025.
This book presents a curated collection of peer-reviewed research papers from the 4th International Conference on Innovations in Data Analytics (ICIDA 2025), held at Eminent College of Management & Technology (ECMT), India, in collaboration with the International Knowledge Research Foundation, on 5–6 December 2025. The conference served as a dynamic platform for academicians, researchers, and industry professionals to exchange ideas and showcase advancements in the rapidly evolving domains of data analytics and intelligent systems. In today’s data-driven world, the integration of Data Mining, Machine Learning, and Information Security has become essential for extracting meaningful insights and ensuring the protection of sensitive information. This book highlights cutting-edge research that addresses contemporary challenges in handling large-scale data, developing intelligent computational models, and securing digital infrastructures. This book encompasses a wide spectrum of topics, including Artificial Intelligence, Data Analytics, Internet of Things (IoT), Information Security, and emerging trends in computing and communication technologies. The book reflects both theoretical innovations and practical applications, offering valuable insights for researchers, practitioners, and students alike. By bringing together high-quality work from diverse domains, this book aims to foster interdisciplinary research and contribute to the advancement of knowledge in data analytics and its allied fields.

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