Big Data, Machine Learning, and Applications -

Big Data, Machine Learning, and Applications

First International Conference, BigDML 2019, Silchar, India, December 16–19, 2019, Revised Selected Papers
Buch | Softcover
XI, 103 Seiten
2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-62624-2 (ISBN)
80,24 inkl. MwSt
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. 

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.

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo XI, 103 p. 39 illus., 25 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 191 g
Themenwelt Mathematik / Informatik Informatik Netzwerke
Informatik Weitere Themen Hardware
Schlagworte Applications • Artificial Intelligence • bandwidth • Communication Systems • Computer Hardware • Computer Networks • Computer Science • Computer systems • conference proceedings • Databases • Data Mining • Informatics • machine learning • Network Protocols • Research • sensor nodes • sensors • Signal Processing • Telecommunication networks • Telecommunication Systems • wireless telecommunication systems
ISBN-10 3-030-62624-5 / 3030626245
ISBN-13 978-3-030-62624-2 / 9783030626242
Zustand Neuware
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Springer (Verlag)
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