Advances in Data Computing, Communication and Security: Proceedings of I3CS2021

TRACK 1: DATA COMPUTING.- Chapter 1. OntoIntAIC: An Approach for Ontology Integration Using Artificially Intelligent Cloud.- Chapter 2. Identifying the Most Frequently Used Words in Spam Mail Using Random Forest Classifier and Mutual Information Content.- Chapter 3. Comparative Analysis of Intelligent Learning Techniques for Diagnosis of Liver Tumor from CT Images.- Chapter 4. A New Model for COVID-19 Detection Using Chest X-Ray Images with Transfer Learning.- Chapter 5. Violence detection in videos using Transfer Learning and LSTM.- Chapter 6. Kernel functions for clustering of incomplete data: A comparative study.- Chapter 7. Neuroimaging (Anatomical MRI) based classification of Alzheimer's diseases and Mild Cognitive Impairment using Convolution Neural Network.- Chapter 8. Design and Implementation of Stop Words Removal Method for Punjabi Language Using Finite Automata.- Chapter 9. Arrhythmia Fibrillation for Cardiac Disease Classification using Oversampling Method for Multiple Classifiers based on Machine Learning.- Chapter 10. Unsupervised modeling of workloads as an enabler for supervised ensemble-based prediction of resource demands on a cloud.- Chapter 11. A Technique for Find Out Low Frequency Rare Words in Medical Cancer Text Document Classification.- Chapter 12. Image Based Spammer Analysis using Suitable Features Selection by Genetic Algorithm in OSNs.- Chapter 13. An Improved Firefly Algorithm Based Cluster Analysis Technique.- Chapter 14. Stock Market Analysis of Beauty Industry during COVID-19.- Chapter 15. An OWA based feature extraction and ranking for performance evaluation of the players in cricket.