Data Science and Big Data Analytics

Proceedings of IDBA 2026, Volume 1
Erscheinungsjahr 2027
ISBN: 978-3-032-43005-2
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Learning and Analytics in Intelligent Systems

This book features high-quality research papers presented at the Sixth International Conference on Data Science and Big Data Analytics (IDBA 2026), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during July 3–4, 2026. This book discusses topics such as data science, artificial intelligence, machine learning, quantum computing, big data and cloud security, computation security, big data security, information security, forecasting, data analytics, mathematics for data science, graph theory and application in data science, data visualization, computer vision, and analytics for social networks.

Zielgruppe

Research

Autoren/Hrsg.

Mishra, Durgesh Kumar

Yang, Xin-She

Unal, Aynur

Jat, Dharam Singh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit

Inhaltsverzeichnis

Blockchain-Enabled Intelligent Healthcare Notification System.- Universal Dependencies in Transformer-based Supervised Neural Machine Translation for Endangered KANGARI Language.- Analyzing Potential Artificial Intelligence Generated Content (AIGC) Users for Promotional Videos in The FnB Field.- AI and Sustainability: Evaluating the Ecological Impacts of Artificial Intelligence.- AI-Driven Ingredient Analysis and Allergen Detection from Product Images.- AgroAssist: A Multilingual Voice-Enabled Agricultural Advisory System with RAG-Based Conversational AI and Computer Vision.- Identifying Key Factors Affecting Personal Confidence in Women Entrepreneurs.- AI-Driven Optimization in Power and Renewable Energy System.- A Length-Adaptive Multi-Transformer Framework for Context-Aware Abstractive Text Summarization.- Quantum Seeded Dynamic JWT Authentication Framework.

Über Autor(innen)

Durgesh Mishra obtained his Ph.D. in Computer Engineering from DAVV Indore. He worked at IIT Indore as visiting professor. Currently, he is working as a professor and Director at Symbiosis University of Applied Science, Indore. He is the chairman of IEEE Computer Society, Madhya Pradesh Section. He served as national Chairman Computer Society of India for about 5 years and treasurer for about 3 years. He is the chairman of the ACM Indore chapter. He has published more than 120 peer-reviewed papers with good citations. He supervised 7 PhDs and more than 50 master's students. He has 6 patents granted and 12 published. He was awarded with a Lifetime Achievement award, the international paper presenter award, and the best paper award. He was chairman IEEE Computer Society chapter, Bombay section (2010). He was a consultant to Govt of Madhya Pradesh sales tax and labor departments. He has published 2 books DBMS and C++ programming.

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and then later at National Physical Laboratory (UK) as a senior research scientist. Now he is a reader at Middlesex University London, and a co-editor of the Springer Tracts in Nature-Inspired Computing. He is also an elected fellow of the Institute of Mathematics and its Applications (FIMA, UK) 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 (2015 to 2020). He has published more than 40 books and more than 350 peer-reviewed research papers with more than 95,600 citations. He has been on the prestigious list of most influential researchers or highly cited researchers (Web of Sciences) for ten consecutive years since 2016.

Dharm Singh Jat is a professor of Computer Science and the UNESCO Chairholder on Secure High-performance Computing for Higher Education and Research established at Namibia University of Science and Technology (NUST). He received his Master of Engineering and PhD in Computer Science and Engineering. He has supervised 9 PhD and 27 Master’s students, author of more than 200 peer-reviewed articles, and author or editor of more than 20 books and conference proceedings. He has received more than 19 prestigious awards as a scientist and engineer. He is a fellow of the Institution of Engineers and the fellow of the Computer Society of India. His professional awards include the Eminent Scientist Award, Distinguished Academic Achievement, Eminent Engineering Personality, CSI Chapter Patron and Significant Contribution, Best Faculty Researcher, Best Technical Staff, Outstanding University Service, Distinguished ACM Speaker Award, and IEEE Computer Society DVP Speaker award.

Aynur Unal is educated at Stanford University (doctoral advisers were Prof. George Herrmann of Engineering and Prof. Harold Levine of Mathematics). She built a new computational acoustics program from scratch at Stanford University and had worked on noise reduction in various systems including Mac series and Next work stations. She took part in early Silicon Valley startup companies using ultrasound for diagnostics in both machine and human health. She used the first artificial neural networks in diagnostics. She was the chief technical architect of www.e2open.com. She developed the secure and private e-services, e-financial systems, e-manufacturing, e-health, and e-learning as a member of the Executive Team. In 2010, she became the dean of Engineering at Ansal University. Advisor to several universities in India, visiting professor at IITG, Guwahati, and is an executive advisor at Stanford Medical School. Her research interests are secure, smart, and sustainable digital systems and services.