Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2018, Volume 3 (Advances in Intelligent Systems and Computing)

Abraham, Ajith (EDT)/ Dutta, Paramartha (EDT)/ Mandal, Jyotsna Kumar (EDT)

Springer Verlag, Singapore（2018/09発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 889 p.
• 言語 ENG
• 商品コード 9789811315008
• DDC分類 006.312

Full Description

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.

Contents

Proposed Memory Allocation Algorithm for NUMA based Soft Real Time Operating System.- Mathematical Model of Fog Computing Architecture for IoT Micro-Services.- Analysis of Attention Level of Human Body in Different Form.- Analytical Survey on Standards of Internet of Things Framework & Platforms.- A Predictive Resource Management Technique in Grid.- Cryptanalysis of a Chaotic Key based Image Encryption Scheme.- Blind RGB Image Steganography using Discrete Cosine Transformation.- Wavelet and Pyramid Histogram Features for Image based Leaf Detection.- Automated Detection of Glaucoma using Image Processing Techniques.- Chemical Reaction Optimization Algorithm for Word Detection using Pictorial Structure.- Secure Remote Patient Monitoring with Location Based Services.- Development of Joint Intelligent Millimeter Wave Sensing and Communication.- Machine Learning for Mining Imbalanced Data.- Key Feature Extraction and Machine Learning Based Automatic Text Summarization.- Prediction of Gold Price Movement Using Geopolitical Risk as a Factor.