Innovations in Data Analytics
Description
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. This 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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Persons
Dr. Abhishek Bhattacharya is Professor at Sister Nivedita University, India. He has completed his Ph.D (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are Data Mining, Cyber security and Mobile Computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. He has 3 Book Chapters in Taylor & Francis Group EAI. He is a peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, CIIR 2024, ICDMIS 2024. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. He has published 3 patents and 20 books.
Dr. Soumi Dutta is a Professor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D. (CST), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE) securing 1st position (Gold medalist) from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020, and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis, and Image Processing. She has published more than 100 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 40 Books in Springer, Elsevier, Taylor & Francis Group and IGI Global. She is a peer reviewer and TPC member in different international journals. She is an active member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 11 patents and 1 copyright.
Prof. Xin-She Yang received his DPhil in applied mathematics from the University of Oxford, UK. He then worked at Cambridge University, UK and later at National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London and the Co-Editor of the book series: Springer Tracts in Nature-Inspired Computing. He is also an Elected Fellow of the Institute of Mathematics and its Applications (IMA) and Fellow of Asian Computational Intelligence Society. He was the IEEE Computational Intelligence Society (CIS) Chair for the Task Force on Business Intelligence and Knowledge Management from 2015 to 2020. He has edited more than 50 books and published more than 400 peer-reviewed research papers with more than 103700 citations, and has been on the prestigious list of highly-cited researchers (Web of Sciences) for nine consecutive years from 2016 to 2024.
Dr. Surajit Goon is a distinguished academic leader with over 20 years of experience in the field of Computer Science and Engineering. Currently serving as the academic director at Eminent Group of Colleges in Kolkata, Dr. Goon brings a wealth of knowledge and expertise to his role. With a Ph.D. from Brainware University in West Bengal, an M.Tech. from Birla Institute of Technology in Ranchi, and an MCA from Biju Pattanayak University of Technology in Orissa, Dr. Goon has a solid educational foundation in his field. His contributions to academia include more than 30 publications in reputable conferences and journals, including Springer and IEEE. Dr. Goon has also authored a book on Unix and Shell Programming and holds three patents. His research interests primarily focus on Data Science and Visual Cryptography, reflecting his commitment to cutting-edge areas of computer science.
Content
Advancements in Artificial Intelligence for Predicting Mental Disorders.- Multi-Objective PSO for Joint Optimization of Architecture And Spectral-Spatial Filters in CNN For Crop Classification using Hyperspectral Imagery.- Analyzing college students Anxiety using GAD-7 Scale: A Deep Learning- based Predictive Model with demographic and digital behaviors factors.- AI-Based Optimization Techniques for Sustainable CNC Machining in the Era of Industry 4.0.- Autonomous Spraying Systems for Selective Fertilization Using Deep Learning Vision Models.- Affective Computing Deep Learning Framework: Emotion Recognition and Music Suggestion via Convolutional Neural Network.- Quantum Computing for Efficient Candidate Selection in India: Integrating Demographic Clustering and Voter Analytics.- Intelligent Brain-Computer Interfaces for Cognitive Healthcare.- Bio-Inspired Evolutionary AI with Hybrid Water Wheel Plant and Deep Reinforcement Learning for Energy-Efficient Cloud Task Scheduling.- Advancing Crop Protection with Nanotechnology: Current Trends and Future Prospects.