Description
This book offers to readers a selection of refereed papers that were presented at the Sixth International Symposium on Intelligent Systems Technologies and Applications (ISTA’20). All submissions were evaluated on the basis of their significance, novelty, and technical quality. This book consists of 28 papers (19 regular and 9 short papers) that were virtually presented at the Symposium. The papers cover different areas such as big data analytics, security and privacy, Internet of things, machine and deep learning, health informatics, visual computing, signal processing, and natural language processing. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.
Table of Contents
Probability of Loan Default - Applying Data Analytics to Financial Credit Risk Prediction.- Analytical Study on Algorithms for Content Based Mobile Phone Recommendation System.- AI Approaches for IoT Security Analysis.- Hybrid Deep Neural Architecture for Detection of DDoS Attacks in Cloud Computing.- Map Reduce Driven Rough Set Fuzzy Classification Rule Generation for Big Data Processing.- Identifying Network Intrusion Using Enhanced Whale Optimization Algorithm.- Transformed WLS Based Data Reconciliation for a Large-Scale Process Network.- Analyze and Visualize the Correlation Between Heart and Cancer Diseases Using Data Mining Techniques.- Diabetes Prediction Using Machine Learning Techniques.- Deep Learning Classification to Improve Diagnosis of Cervical Cancer Through Swarm Intelligence Based Feature Selection Approach.- Improving the Performance of Imbalanced Learning and Classification of a Juvenile Delinquency Data.- A Spot Rainfall Prediction During Cyclones by Using Time Series Analysis Model.
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