Big Data, Machine Learning, and Applications: First International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, Revised Selected Papers

by Ripon Patgiri (Editor), Sivaji Bandyopadhyay (Editor), Malaya Dutta Borah (Editor), Dalton Meitei Thounaojam (Editor)

Overview

This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December.
The 6 full papers and 3 short papers were carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. 

Product Details

ISBN-13:	9783030626259
Publisher:	Springer-Verlag New York, LLC
Publication date:	11/27/2020
Series:	Communications in Computer and Information Science , #1317
Sold by:	Barnes & Noble
Format:	eBook
File size:	11 MB
Note:	This product may take a few minutes to download.

Table of Contents

TUKNN: A Parallel KNN Algorithm to handle large Data.- Cluster-Based Regression Model for Predicting Aqueous Solubility of the Molecules.- A Preventive intrusion Detection architecture using Adaptive Blockchain Method.- Automatic Extraction of Locations from News Articles using Domain Knowledge.-  Uncovering Data Warehouse Issues&Challenges in Big Data Management.-  Intrusion detection in ad hoc network using machine learning technique.- Big Data Issues in SDN based IoT: A Review.- Classification of Diffuse Lung Diseases using Heterogeneous Ensemble Classifiers.- NISAR Real Time data processing – A Simple and Futuristic View.