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.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Illustrationen
14
25 farbige Abbildungen, 14 s/w Abbildungen
XI, 103 p. 39 illus., 25 illus. in color.
ISBN-13
978-3-030-62625-9 (9783030626259)
DOI
10.1007/978-3-030-62625-9
Schweitzer Klassifikation
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.
