Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2020, Volume 1 (Advances in Intelligent Systems and Computing)

Hassanien, Aboul Ella (EDT)/ Bhattacharyya, Siddhartha (EDT)/ Chakrabati, Satyajit (EDT)

Springer Verlag, Singapore（2021/06発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 1014 p.
• 言語 ENG
• 商品コード 9789811599262
• DDC分類 006.3

Full 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.

 

Contents

Mathematical Modelling and Analysis of Walters Liquid Motion with Brownian Diffusion.- Optimization of Quadratic Curve Fitting from Data point using Real Coded Genetic Algorithm.- Blockchain Leveraged Incentive Providing Waste Management System.- Confidentiality Preserving Technique for Multiple Co-Related Sensitive Numeric Attributes.- Boundary Layer Flow and its Dual Solutions over a Stretching Cylinder: Stability Analysis.- Modelling of Two Phase Fluid Flow Over a Stretching Sheet and its Numerical Investigation.- Home Automation Using ESP8266 of IOT Module.