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Microservices in Big Data Analytics

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Cover of 'Microservices in Big Data Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive VM Migration and Allocation Mechanism in Cloud Environment
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    Chapter 2 Educational Cloud Framework—A Literature Review on Finding Better Private Cloud Framework for Educational Hub
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    Chapter 3 Improved DYMO-Based ACO for MANET Using Distance and Density of Nodes
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    Chapter 4 An Efficient ATM Surveillance Framework Using Optical Flow with CNN
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    Chapter 5 An Efficient Approach for Image Encryption Using Zigzag, Arnold Transformation and Double Random-Phase Encoding in Fractional Fourier Transform Domain
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    Chapter 6 Comparison of Execution Time of Mobile Application Using Equal Division and Profile-Based Algorithm in Mobile Cloud Computing
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    Chapter 7 Ontological Design of Information Retrieval Model for Real Estate Documents
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    Chapter 8 Parameter Optimization in Convolutional Neural Networks Using Gradient Descent
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    Chapter 9 Empirical Investigation of Usability Evaluation Methods for Mobile Applications Using Evidence-Based Approach
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    Chapter 10 Prediction of Underwater Surface Target Through SONAR: A Case Study of Machine Learning
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    Chapter 11 Big Data Machine Learning Framework for Drug Toxicity Prediction
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    Chapter 12 Implementation of Block-Based Symmetric Algorithms for Real Image Encryption
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    Chapter 13 Human Emotion Recognition Using Body Expressive Feature
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    Chapter 14 Self-energizing Wireless Sensor Network
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    Chapter 15 A Fuzzy Logic-Based Control System for Detection and Mitigation of Blackhole Attack in Vehicular Ad Hoc Network
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    Chapter 16 Cloud Computing-Based Approach for Accessing Electronic Health Record for Healthcare Sector
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Mentioned by

wikipedia
1 Wikipedia page

Citations

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2 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Microservices in Big Data Analytics
Published by
Springer Singapore, November 2019
DOI 10.1007/978-981-15-0128-9
ISBNs
978-9-81-150127-2, 978-9-81-150128-9
Editors

Chaudhary, Anil, Choudhary, Chothmal, Gupta, Mukesh Kumar, Lal, Chhagan, Badal, Tapas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Student > Master 4 15%
Student > Bachelor 2 8%
Student > Postgraduate 2 8%
Lecturer 2 8%
Other 1 4%
Unknown 9 35%
Readers by discipline Count As %
Computer Science 8 31%
Engineering 2 8%
Nursing and Health Professions 1 4%
Medicine and Dentistry 1 4%
Business, Management and Accounting 1 4%
Other 0 0%
Unknown 13 50%