Business Intelligence and Data Analytics

Proceedings of BIDA 2026, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-40531-9
Verlag: Springer

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

Reihe: Smart Innovation, Systems and Technologies

This book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2026), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2026. This book covers state-of-the-art research articles from the researchers and practitioners working in the field of business intelligence, data analytics, decision support systems, data warehousing and data mining, big data analytics, predictive and prescriptive analytics, and machine learning for business applications and their real-world applications.

Zielgruppe

Research

Autoren/Hrsg.

Verma, Abhishek

Zhang, Justin

Pandey, Avinash Chandra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

A Blockchain Framework for Security Academic Certificate Verification.- Integrating Lean Agile 4.0 and Sustainable VSM: Insights from a Peruvian Distribution Center.- Hybrid Multimodal Deep Learning for Accurate Identification of Deepfake Videos.- Clean-Label Poisoning Attacks in Text Classification: An Empirical Study of Classical and Neural Models.- Does Ordering Matter? A Full Permutation Study of Hybrid Deep Networks for Human Activity Recognition.- Multi-View Graph Attention with Motif-Enhanced Similarity for Community Detection.- A Data-Driven Financial Decision Support Framework Using Grey Wolf Optimization for Disaster Relief Allocation.- Explainable Road Scene Classification and Anomaly Detection using VGG16 and XAI.- LawBot: A Hybrid Retrieval Framework for Natural Language Legal Assistance using Domain-Specific NER and Citation-Based Response Generation.- Design and Implementation of a Cost-Effective Multi-Sensor Smart Helmet for a Real-Time Rider Safety Monitoring System.- Chain Accident Prevention Through Automatic Braking using Vehicle-to-Vehicle Communication System.- Hierarchical NLP Framework with Federated Learning for Sector-Specific Climate-Adjusted Loss Given Default Estimation.- Privacy-Preserving AI Models for Securing Electronic Health Records using Federated Learning.- Detecting Anomalies in Large-Scale Aadhaar Enrollment Data: A Tabular Learning Case Study.- Smartfin Ai: A Generative Ai–Driven Framework For Intelligent Expense Management And Real-Time Stock Market Analysis.- Etc.

Über Autor(innen)

Dr. Abhishek Verma is an Assistant Professor in the Department of Management at BITS Pilani – Pilani Campus. Before joining BITS Pilani, he was with the Indian Institute of Management Rohtak for over four years, where he worked in the Management Information Systems area. At IIM Rohtak, he led several executive management development programmes (eMDPs) in Data Analytics and held significant administrative positions such as Area chairperson and Programme chairperson for both long- and short-duration programmes. He holds a Ph.D. from the Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur. His research focuses on data analytics, particularly analysing large-scale textual and categorical data using data mining and machine learning techniques. Dr. Verma has published extensively in reputed international journals, including Safety Science, Enterprise Information Systems, Computers & Industrial Engineering, International Journal of Injury Control and Safety Promotion, and Process Safety and Environmental Protection. He has also authored several book chapters, conference papers, and business case studies and has presented his research at leading international conferences in India and abroad. In addition, he has served as the editor for the proceedings of two international conferences. He is a reviewer for journals such as Safety Science, Computers & Industrial Engineering, Management Review Quarterly, and Enterprise Information Systems.

Dr. Justin Zhang is an Associate Professor of Management Information Systems and Business Analytics in the Department of Management at Coggin College of Business, University of North Florida (UNF). He is also the Program Director of the Master of Science in Business Analytics (MSBA) program at UNF. He received his Ph.D. in Business Administration with a concentration on Management Science and Information Systems from Pennsylvania State University, University Park. His research interests include economics of information systems, knowledge management, electronic business, business process management, information security, and social networking. He is the editor-in-chief of the Journal of Global Information Management, an ABET program evaluator, and an IEEE senior member. His areas of Expertise are Business Analytics, Economics Of Information Systems, Information Security, Knowledge Management, Social Media. He did Master in Economics from Shanghai University of Finance and Economics, Shanghai, China and Bachelor of Engineering from Tongji University, Shanghai, China. He has received award of Excellence, 14th Scholars Transforming Academic Research Symposium, April 17, 2023, UNF and listed in Top 2% Most-Cited Scientists Worldwide 2023, 2024, 2025. He is editor in chief of Journal of Global Information Management (ABDC-A, ABS-2, SSCI, 2022 IF: 4.7, JCR Q2). He is member of various academic societies like IEEE, AIS, ACM, INFORMS.

Dr. Avinash Chandra Pandey is an Associate Professor in the Department of Cyber Security and Digital Forensics at the National Forensic Sciences University, Dharwad Campus, India. He specializes in Artificial Intelligence, Machine Learning, and Data Science applications across interdisciplinary domains, with research interests in Machine Learning, Natural Language Processing, and nature-inspired computing. With over a decade of teaching and research experience at UG and PG levels, he has published 50+ papers in reputed international journals and conferences, holds 4 patents, and has completed 2 sponsored research projects. Dr. Pandey currently supervises 3 Ph.D., 1 M.Tech, and numerous B.Tech projects and has previously guided 4 M.Tech and 30 B.Tech projects to completion. He serves as a reviewer for government-funded projects and leading international journals and is a sought-after resource person, delivering invited lectures at national and international conferences, STTPs, and QIP programs.