Big Data, Machine Learning, and Applications
First International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, Revised Selected Papers
(Sprache: Englisch)
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...
The 6 full papers and 3 short papers were carefully...
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Klappentext zu „Big Data, Machine Learning, and Applications “
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.
Inhaltsverzeichnis zu „Big Data, Machine Learning, and Applications “
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.
Bibliographische Angaben
- 2020, 1st ed. 2020, XI, 103 Seiten, 25 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Ripon Patgiri, Sivaji Bandyopadhyay, Malaya Dutta Borah, Dalton Meitei Thounaojam
- Verlag: Springer, Berlin
- ISBN-10: 3030626245
- ISBN-13: 9783030626242
Sprache:
Englisch
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