Description

Book Synopsis

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.



Table 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.- 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.

Emerging Technologies in Data Mining and

Product form

£134.99

Includes FREE delivery

RRP £179.99 – you save £45.00 (25%)

Order before 4pm today for delivery by Wed 14 Jan 2026.

A Paperback / softback by João Manuel R. S. Tavares, Satyajit Chakrabarti, Abhishek Bhattacharya

Out of stock


    View other formats and editions of Emerging Technologies in Data Mining and by João Manuel R. S. Tavares

    Publisher: Springer Verlag, Singapore
    Publication Date: 06/05/2022
    ISBN13: 9789811597763, 978-9811597763
    ISBN10: 9811597766

    Description

    Book Synopsis

    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.



    Table 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.- 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.

    Recently viewed products

    © 2026 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account