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Microservices in Big Data Analytics [electronic resource] : Second International, ICETCE 2019, Rajasthan, India, February 1st-2nd 2019, Revised Selected Papers /

Contributor(s): Material type: TextTextPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XXIV, 188 p. 129 illus., 105 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789811501289
Subject(s): Additional physical formats: Printed edition:: No title; 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:
Adaptive VM Migration and Allocation Mechanism in Cloud Environment -- Educational Cloud Framework-A Literature Review on Finding Better Private Cloud Framework for Educational Hub -- Improved DYMO Based ACO for MANET Using Distance and Density of Nodes -- An Efficient ATM Surveillance Framework Using Optical Flow with CNN -- An Efficient Approach for Image Encryption using Zigzag, Arnold Transformation and Double Random Phase Encoding in Fractional Fourier Transform Domain -- Comparison of Execution Time of Mobile Application Using Equal Division and Profile Based algorithm in Mobile Cloud Computing -- Ontological Design of Information Retrieval Model for Real Estate Documents -- Parameter Optimization in Convolutional Neural Networks Using Gradient Descent -- Empirical Investigation of Usability Evaluation Methods for Mobile Applications Using Evidence Based Approach -- Prediction of Underwater Surface Target through SONAR: A Case Study of Machine Learning -- Big Data Machine Learning Framework for Drug Toxicity Prediction -- Implementation of Block Based Symmetric Algorithms for Real Image Encryption -- Human Emotion Recognition Using Body Expressive Feature -- Self-Energizing Wireless Sensor Network -- A Fuzzy Logic Based Control System for Detection and Mitigation of Black Hole Attack in Vehicular Ad-Hoc Network -- Cloud Computing Based Approach for Accessing Electronic Health Record for Healthcare Sector.
In: Springer Nature eBookSummary: These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics. The ICETCE-2019 is the latest installment in a successful series of annual conferences that began in 2011. Every year since, it has significantly contributed to the research community in the form of numerous high-quality research papers. This year, the conference’s focus was on the highly relevant area of Microservices in Big Data Analytics.
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Adaptive VM Migration and Allocation Mechanism in Cloud Environment -- Educational Cloud Framework-A Literature Review on Finding Better Private Cloud Framework for Educational Hub -- Improved DYMO Based ACO for MANET Using Distance and Density of Nodes -- An Efficient ATM Surveillance Framework Using Optical Flow with CNN -- An Efficient Approach for Image Encryption using Zigzag, Arnold Transformation and Double Random Phase Encoding in Fractional Fourier Transform Domain -- Comparison of Execution Time of Mobile Application Using Equal Division and Profile Based algorithm in Mobile Cloud Computing -- Ontological Design of Information Retrieval Model for Real Estate Documents -- Parameter Optimization in Convolutional Neural Networks Using Gradient Descent -- Empirical Investigation of Usability Evaluation Methods for Mobile Applications Using Evidence Based Approach -- Prediction of Underwater Surface Target through SONAR: A Case Study of Machine Learning -- Big Data Machine Learning Framework for Drug Toxicity Prediction -- Implementation of Block Based Symmetric Algorithms for Real Image Encryption -- Human Emotion Recognition Using Body Expressive Feature -- Self-Energizing Wireless Sensor Network -- A Fuzzy Logic Based Control System for Detection and Mitigation of Black Hole Attack in Vehicular Ad-Hoc Network -- Cloud Computing Based Approach for Accessing Electronic Health Record for Healthcare Sector.

These proceedings gather cutting-edge papers exploring the principles, techniques, and applications of Microservices in Big Data Analytics. The ICETCE-2019 is the latest installment in a successful series of annual conferences that began in 2011. Every year since, it has significantly contributed to the research community in the form of numerous high-quality research papers. This year, the conference’s focus was on the highly relevant area of Microservices in Big Data Analytics.

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