Emerging Technologies in Data Mining and Information Security: Proceedings of Iemis 2020, Volume 3

Book Overview

Chapter 1. Layered Ensemble Learning for Effective Binary Classification.- Chapter 2. A Preliminary Study of Knowledge Graphs and their Construction.- Chapter 3. A Simple Ensemble Learning Algorithm for a Real time High Dimensional Data.- Chapter 4. Promising Highest Resilient Network using preventive Route selection algorithm- IPSDSDV in MANET.- Chapter 5. An ANN Approach of Twisted Fiestel Block Ciphering.- Chapter 6. Musical Instrument Classification Based On Machine Learning Algorithm.- Chapter 7. Analytical Survey and Comparative Analysis of Socialized Network via Data Mining and Machine Learning Techniques.- Chapter 8. Assessment of Severity Classification of Traffic Accidents on the basis of K-means Clustering and Adaptive Neuro-Fuzzy Inference System.- Chapter 9. Design and Implementation of Login Based Wi-Fi Hotspot Network for an University Campus.- Chapter 10. A Framework to Capture the Shift in Dynamics of a Multi-Phase Protest - A Case Study of Hong Kong Protests.- Chapter 11. A Comparative Study to Analyze the Performance of Advanced Pattern Recognition Algorithms for Multi-Class Classification.- Chapter 12. ECG Signal Denoising Using A Novel Solution To The Heat Equation Through Wavelet Transform.- Chapter 13. Design and Implementation of Chao-Cryptic Architecture on FPGA for Secure Audio Communication.- Chapter 14. Diffusion + Confusion: Chaos Assisted Two Fold Cryptosystem for Secure Video Transmission.- Chapter 15. Chaos Blend LFSR - Duo Approach on FPGA for Medical Image Security.

• Format: Paperback
• Language: English
• ISBN: 9811597766
• ISBN13: 9789811597763
• Release Date: May 2022
• Publisher: Springer
• Length: 994 Pages
• Weight: 3.10 lbs.
• Dimensions: 2.0" x 6.1" x 9.2"