Big data, machine learning, and applications : first International Conference, BigDML 2019, Silchar, India, December 16-19, 2019, revised selected papers / / Ripon Patgiri [and three others] (Eds.)

• Pubblicazione: Cham, Switzerland : , : Springer, , [2020]; ©2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XI, 103 p. 39 illus., 25 illus. in color.)
• Disciplina: 005.7
• Soggetto topico: Big data; Machine learning
• Persona (resp. second.): PatgiriRipon
• Nota di contenuto: 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.
• Sommario/riassunto: 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. .
• Titolo autorizzato: Big data, machine learning, and applications
• ISBN: 3-030-62625-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910427695703321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in computer and information science ; ; 1317.