Big Data, Machine Learning, and Applications (eBook, PDF)

First International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, Revised Selected Papers
Redaktion: Patgiri, Ripon; Thounaojam, Dalton Meitei; Borah, Malaya Dutta; Bandyopadhyay, Sivaji

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 103
• Erscheinungstermin: 27. November 2020
• Englisch
• ISBN-13: 9783030626259
• Artikelnr.: 62300748

Inhaltsangabe

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.