Business Intelligence and Data Analytics
Description
This book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2025), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2025. The 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.
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Persons
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. 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.
Justin Zhang teaches courses of Information Systems and Business Analytics in the Department of Management at University of North Florida. 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, and social media. He did Ph.D. in Business Administration from Pennsylvania State University, University Park, PA, Master in Economics from Shanghai University of Finance and Economics, Shanghai, China, and Bachelor of Engineering from Tongji University, Shanghai, China.
Dr. Avinash Chandra Pandey is currently serving as an assistant professor in the Discipline of Computer Science & Engineering of PDPM Indian Institute of Information Technology, Design, and Manufacturing, Jabalpur (IIITDM), India. He did his PhD. in the field of data analytics under the supervision of Dr. Dharmveer Singh Rajpoot. His research areas include machine learning, text mining, and nature-inspired computing. He has over 9 years of research and teaching experience at UG and PG levels. He has published more than 40 research papers in international peer-reviewed journals of repute, national and international conferences in India and abroad, and 02 patents. He has also guided many Ph.D. (Ongoing 01), M.Tech. (Awarded 02, Ongoing 01), and B.Tech. (Project: Awarded 30) students. He is a reviewer for various government-funded projects and leading international journals of repute.
Content
Autism Spectrum Disorder Detection using Deep Learning Algorithm.- Empowering Entrepreneurs: Strategies for Business Sustainability among Rural and Young Women Entrepreneurs in Mysuru District.- Inclusive STEM education for rural children with AI and VR powered labs.- Developing a Blockchain Framework for Storing Land Records.- Crime Detection By Integrating AI/ML With Existing CCTV Videos.- Protecting Digital Art using AI Detection, Steganography, and Blockchain.- Advanced Image Analytics for Automated Tree Enumeration.- Plant Disease Detection using Deep Learning: A Fine-Tuned Xception Model.- Smart Traffic Control and Accident Detection: A Survey on AI, IoT, and Embedded Systems.- Convolutional Neural Network-Based Pneumonia Identification from Chest X-Ray Images.- Attribute Extraction for E-Commerce Fashion Data.- Analysis of Mesh based Router for NoC Applications.- A Comparative Review of Power Factor Correction Techniques for Power Converters.- Soil Parameters Detection and Analysis.- A Deep Learning Model for Prospective Detection of Diabetic Cardiomyopathy from Microscopic Images of Ischemia in Diabetic Patients.- Benchmarking Segmentation Methods for Ovarian Cancer Histopathological Image Analysis.- Utilizing a CNNWMP Deep Learning Approach for the Automated Identification of Pneumonia in Chest X-ray Images.- Bridging Job Demand and Student Employability: A Hybrid CNN-LSTM Framework for Real-Time Job-Skill Alignment and Career Recommendation.- AI-Powered ChatGPT: Optimizing the Learning Experiences with OpenAI's Chat Generative Pre-Trained Transformer in the Pacific.- AI Empowered Fog or Edge Resource Management.- ThreatWatch Pro - Next Gen Unified Threat Intelligence Platform.- Exploring Skin Resistance-Based Lie Detection Technology using Arduino Nano and Biofeedback Sensors.- Prediction of Dynamic Uniaxial Tensile Strength of High-Performance Steel-Fiber-Reinforced Concrete.- Next-Gen FinTech: AI-Driven Data Protection and Privacy Mechanisms.- Evaluating the Impact of Governance Efficiency on Economic Performance in Vietnam: A DEA-Malmquist Analysis of PAPI, FDI, GRDP, and Unemployment.- Enhancing Solar Power Generation Prediction: A Modified Variable Neighborhood Search Optimized Long Short-Term Memory Approach.- AI-Driven Adaptive Traffic Signal Control: Enhancing Urban Mobility with Deep Multi-Agent Reinforcement Learning.- Machine Learning for Early Detection of PCOS: Diagnosis and Challenges.- A Novel Feature Based Approach for Clustering Code Mixed Hindi -English Documents.- Unmasking Digital Crime Against Women and Children: Analyzing Motives and Insights to Reduce Crime.- A Historical Analysis of Financial Integration in European Sovereign Debt Markets: From EEC Formation to Euro Adoption.- Real-Time Language Translator and Speech Recognition System using Google Speech Recognition, gTTS, and Google Translate API.- AI-Powered Driver Monitoring System for Preventing Fatigue-Related Accidents.- Advancements in Fashion Image Classification using Semi-Supervised GAN.- Sentiment Analysis of Multimodal Digital Data using VADER, CNN, and LSTM Models: A Modal Fusion.- Algorithmic Trading: A Statistical and Adaptive Analysis of Quadrant Strategies Enhancements.