Big Data, Machine Learning, and Applications
First International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, Revised Selected Papers
Published on 27. November 2020
XI, 103 pages
978-3-030-62625-9 (ISBN)
Description
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.
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.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XI, 103 p. 39 illus., 25 illus. in color.
ISBN-13
978-3-030-62625-9 (9783030626259)
DOI
10.1007/978-3-030-62625-9
Schweitzer Classification
Other editions
Additional editions
Ripon Patgiri | Sivaji Bandyopadhyay | Malaya Dutta Borah
Big Data, Machine Learning, and Applications
First International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, Revised Selected Papers
Book
11/2020
Springer
€80.24
Shipment within 7-9 days
Content
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.
