Big Data, Machine Learning, and Applications
First International Conference, BigDML 2019, Silchar, India, December 16–19, 2019, Revised Selected Papers
Series: Communications in Computer and Information Science; 1317;
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Product details:
- Edition number 1st ed. 2020
- Publisher Springer International Publishing
- Date of Publication 28 November 2020
- Number of Volumes 1 pieces, Book
- ISBN 9783030626242
- Binding Paperback
- No. of pages103 pages
- Size 235x155 mm
- Weight 454 g
- Language English
- Illustrations XI, 103 p. 39 illus., 25 illus. in color. Illustrations, black & white 116
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Long 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.
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.
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