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Emerging Technologies in Data Mining and Information Security = Proceedings of IEMIS 2020, Volume 3 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Emerging Technologies in Data Mining and Information Security/ edited by João Manuel R. S. Tavares, Satyajit Chakrabarti, Abhishek Bhattacharya, Sujata Ghatak.
Reminder of title:	Proceedings of IEMIS 2020, Volume 3 /
other author:	Tavares, João Manuel R. S.
Description:	XXX, 994 p. 383 illus., 265 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-15-9774-9
ISBN:	9789811597749

Emerging Technologies in Data Mining and Information Security = Proceedings of IEMIS 2020, Volume 3 /
Emerging Technologies in Data Mining and Information SecurityProceedings of IEMIS 2020, Volume 3 /[electronic resource] :edited by João Manuel R. S. Tavares, Satyajit Chakrabarti, Abhishek Bhattacharya, Sujata Ghatak. - 1st ed. 2021. - XXX, 994 p. 383 illus., 265 illus. in color.online resource. - Lecture Notes in Networks and Systems,1642367-3389 ;. - Lecture Notes in Networks and Systems,1.

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.

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. .

ISBN: 9789811597749

Standard No.: 10.1007/978-981-15-9774-9doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Emerging Technologies in Data Mining and Information Security = Proceedings of IEMIS 2020, Volume 3 /
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