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Big Data, Machine Learning, and Applications [electronic resource] : First International Conference, BigDML 2019, Silchar, India, December 16–19, 2019, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1317Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XI, 103 p. 39 illus., 25 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030626259
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 621.39 23
  • 004.6 23
LOC classification:
  • TK7885-7895
  • TK5105.5-5105.9
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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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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.

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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