Data Science and Big Data Analytics

Proceedings of IDBA 2025, Volume 1
Erscheinungsjahr 2026
ISBN: 978-3-032-05376-3
Verlag: Springer

Buch, Englisch, 537 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 984 g

Reihe: Learning and Analytics in Intelligent Systems

This book features high-quality research papers presented at the Fifth International Conference on Data Science and Big Data Analytics (IDBA 2025), organized by Symbiosis University of Applied Sciences, Indore, India, in association with ACM and IEEE Computer Society in hybrid mode during June 27–28, 2025. 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

Yang, Xin She

Unal, Aynur

Jat, Dharm Singh

Fachgebiete

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

Inhaltsverzeichnis

Reversed Fusion Architecture Based on Spiking Neural Networks (RFSNN): For Dynamic Image Dataset Recognition.- Design and Implementation of Object Component Segmentation Algorithm Based on Improved PointNet++.- Application of the BERT and TextCNN Fusion Model in Chinese Sentiment Classification.- Legal Risks and Regulatory Paths of Generative Artificial Intelligence for Artificial Intelligence
Technology.- Image Generation and Style Transfer Model Based on Generative Adversarial Network.

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 Director and professor 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 100 peer-reviewed papers with good citations. He supervised 7 PhDs and more than 50 master's students. He has 7 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 and edited 15 Books.

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 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.

Dr. 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.

Prof. 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.