1.

Record Nr.

UNINA9910483313703321

Titolo

Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2020, Volume 3 / / edited by João Manuel R. S. Tavares, Satyajit Chakrabarti, Abhishek Bhattacharya, Sujata Ghatak

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021

ISBN

981-15-9774-X

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (973 pages)

Collana

Lecture Notes in Networks and Systems, , 2367-3389 ; ; 164

Disciplina

006.3

Soggetti

Computational intelligence

Data structures (Computer science)

Information theory

Artificial intelligence

Computer networks - Security measures

Image processing - Digital techniques

Computer vision

Information storage and retrieval systems

Computational Intelligence

Data Structures and Information Theory

Artificial Intelligence

Mobile and Network Security

Computer Imaging, Vision, Pattern Recognition and Graphics

Information Storage and Retrieval

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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. .