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Big Data, Machine Learning, and Applications: Communications in Computer and Information Science, cartea 1317

Editat de Ripon Patgiri, Sivaji Bandyopadhyay, Malaya Dutta Borah, Dalton Meitei Thounaojam
en Limba Engleză Paperback – 28 noi 2020
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. 
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Specificații

ISBN-13: 9783030626242
ISBN-10: 3030626245
Pagini: 116
Ilustrații: XI, 103 p. 39 illus., 25 illus. in color.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.19 kg
Ediția:1st edition 2020
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

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.