E-waste Classification using Pre-trained Deep Learning CNN Model -- Explorative Data Analysis on COVID-19 Vaccine Hesitancy in United States -- Stress Detection while doing Exam using EEG with Machine Learning Techniques -- Detection of Fake News using Machine Intelligence for Societal Benefit -- Drug Recommendations using Support Vector Machine -- Fraud Detection on payment using Credit Card, Online Transactions and Banking -- Twitter Sentiment Analysis using Stacking Machine Learning Approach -- Machine learning based Network Intrusion Detection System for IoT Environment -- Periodic Frequent Pattern Mining with Consideration of Periodic Improvements for Business Promotion -- Latent Dirichlet Allocation for Topic Modeling and Intelligent Document Classification -- Artificial Intelligence Based Smart Traffic Control System -- Leveraging Sentiment Analysis of Drugs Review-Based Drugs Recommender System -- An AI-based Integrated Framework for Motion-Activated Facial Recognition -- Rice Leaves Disease Detection Mechanism using VGG16 Deep Learning Architecture -- Advancements in Deep Learning Models for Epileptic Seizure Detection: Algorithms, Applications, and Future Perspectives -- A Comprehensive Study on Reddit Users’ Attitude Towards ChatGPT -- Using OpenCV Space Detection System -- Design and Evaluation of a Customized CNN Architecture for Early Detection of Lung Cancer -- Detecting Common Diseases of Potato Leaf Applying Deep Learning Techniques -- Forecasting Bitcoin Prices using LSTM: A Comparative Evaluation with Future Prediction -- Credit Card fraudulent transaction detection using Machine Learning Techniques -- Revolutionizing Attendance Tracking: A Smart System Utilizing Face Recognition Technology -- Comparative Analysis of Tomato Leaf Diseases in Relation to Soil Nutrition Data -- Deep Learning-Based Smart Surveillance System -- A Guide Tour to Systematic Review and Research perspective on Movie Based Recommendation System.

This book features research papers presented at the 2nd International Conference on Innovations in Data Analytics (ICIDA 2023), held at Eminent College of Management and Technology (ECMT), West Bengal, India during 29 – 30 November 2023. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry.