Big Data, Machine Learning, and Applications

First International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, Revised Selected Papers
1. Auflage 2020
ISBN: 978-3-030-62624-2
Verlag: Springer

Buch, Englisch, Band 1317, 103 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 189 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Patgiri, Ripon

Bandyopadhyay, Sivaji

Borah, Malaya Dutta

Thounaojam, Dalton Meitei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

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.