Emerging Technologies in Data Mining and Information Security
Proceedings of IEMIS 2020, Volume 3
Series: Lecture Notes in Networks and Systems; 164;
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Product details:
- Edition number 1st ed. 2021
- Publisher Springer Nature Singapore
- Date of Publication 6 May 2022
- Number of Volumes 1 pieces, Book
- ISBN 9789811597763
- Binding Paperback
- See also 9789811597732
- No. of pages994 pages
- Size 235x155 mm
- Weight 1537 g
- Language English
- Illustrations XXX, 994 p. 383 illus., 265 illus. in color. Illustrations, black & white 251
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Long description:
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security.
MoreTable of Contents:
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.- Chapter11. 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.
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