Business Intelligence and Data Analytics

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. 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.

Number Plate Recognition using Machine Learning Algorithms and CNN. - Comparative Analysis of Machine Learning Algorithms for Cryptocurrency Price Forecasting in Volatile Markets. - Detection of Fake Online Products using Unsupervised GAN with Grad-CAM Visualization. - Unemployment Rate Prediction Based on Recurrent Neural Networks with Attention Mechanism Tuned by Modified Chimp Optimization Algorithm. - Real-Time Traffic Monitoring for Anomaly Detection and Congestion Management. - Advanced Abnormal Activity Detection in Online Exams with YOLOv8. - Maize and Citrus Disease Classification with EfficientNet-B0 for Real Time Detection. - Application of Artificial Intelligence Techniques for Accurate Classification and Reliable Rainfall Prediction. - Integrating TF-IDF and Fuzzy Matching: A Robust Approach to Code Plagiarism Detection. - Intelligent Analytical Framework to Reduce Customer Retention Efforts in the SaaS Industry. - DUAL CREDIT SCORING Enhancing Creditworthiness Analysis using Spending Patterns and AI. - The Proactive Role of Big Data and IoT in Smart Cities: Achieving SDG 7 through Smart Grids. - Edge-Based DDoS Mitigation in IoT Home Automation using CNN-LSTM. - Harnessing Deep Learning for Efficient Rice Disease Detection with CNN and Advanced Transfer Learning Techniques. - Predicting Carbon Emissions using Hybrid Machine Learning and Deep Learning Models. - A Meta-learning Approach for Psychological Needs Prediction. - Bone Fracture Detection in X-rays using Advanced Deep Learning Modeling. - Navigating Truth: Unravelling the Web of Fake News through RAG. - Mul-Sensis: Multilingual sentiment analysis framework for emotion detection. - A Hybrid Approach for Rice Grain Image Classification using Deep Learning and Machine Learning Algorithms. - Occasion and Color Aware Personalized Outfit Recommendation System with Natural Language Interaction. - Enhancing Stress and Anxiety Detection Accuracy through Multimodal Sensor Fusion and Advanced Machine Learning Techniques


FPGA Based Neural Face Recognition Systems A Survey. - Towards Sustainable Food Security in India: The Strategic Role of Optimized Cold Chain Infrastructure. - A Systematic Review of Machine Learning and Deep Learning for Mental Health Diagnosis. - Enhancing Real-Time Financial Advisory using Retrieval Augmented Generation (RAG) and Intelligent Agents. - Deep Learning Models for EEG-Based Brain-Computer Interface using Motor Imagery. - Tuberculosis Detection using Deep Learning Networks and Chameleon Swarm Algorithm. - An Attention Mechanism based Deep Learning Model for Assessing Quality of the Produce. - Robust Security Framework for Improving Security in Learning Management Systems: User Verification, Access Control, and Payment Integration. - Leveraging User Entity Behavior Analytics for Advanced Ransomware Detection and Protection. - 3D Pose Estimation in Sports using Deep Learning. - Design and Timing Analysis of 32 Bit Pipelined Wallace Tree multiplier. - Sustainable Agriculture Drone Selection: A Multi-Criteria Decision-Making Approach Using VIKOR Method. - Implementation of XGBoost Algorithm using Chi-Square Feature Selection for Early Detection of Hepatitis C Disease. - Handwritten Digit Recognition using CNN. - Blood Smear Image-Based Malaria Prediction using ACO-GWO for Healthcare Diagnostics. - Sentiment Viz: Leveraging RoBERTa in Python for Advanced Sentiment Analysis and Decision-making for a Famous Indian FMCG (Ayurvedic) Brand.