Big Data, Machine Learning, and Applications
First International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, Revised Selected Papers
Published on 28. November 2020
Book
Paperback/Softback
XI, 103 pages
978-3-030-62624-2 (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
Illustrations
14 s/w Abbildungen, 25 farbige Abbildungen
XI, 103 p. 39 illus., 25 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 7 mm
Weight
189 gr
ISBN-13
978-3-030-62624-2 (9783030626242)
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
E-Book
11/2020
Springer
€80.24
Available for download
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.