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Services – SERVICES 2018

Overview of attention for book
Cover of 'Services – SERVICES 2018'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Conceptual Framework of Security Requirements in Multi-cloud Environment
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    Chapter 2 ICSD: Integrated Cloud Services Dataset
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    Chapter 3 RSA Cryptosystem Based on Early Word Based Montgomery Modular Multiplication
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    Chapter 4 Pre-Patch: Find Hidden Threats in Open Software Based on Machine Learning Method
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    Chapter 5 CVTron Web: A Versatile Framework for Online Computer Vision Services
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    Chapter 6 Using Join Operation in Relational Database to Composite Web Services
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    Chapter 7 Cloud Migration Tools: Overview and Comparison
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    Chapter 8 Index Recommendation Algorithm Based on Louvain Algorithm with the Popularity of Keywords
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    Chapter 9 Cloud Resource Allocation Based on Historical Records: An Analysis of Different Resource Estimation Functions
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    Chapter 10 An Evolutionary Multitasking Algorithm for Cloud Computing Service Composition
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    Chapter 11 Software Asset Management Approach in NFV Context
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    Chapter 12 A Trust-Based Prediction Approach for Recommendation System
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    Chapter 13 A Concurrent Recommender System Based on Social Network
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    Chapter 14 MP-RA: Towards a Model-Driven and Pattern-Based Risk Analysis of e-Service Fraud
Attention for Chapter 14: MP-RA: Towards a Model-Driven and Pattern-Based Risk Analysis of e-Service Fraud
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mendeley
4 Mendeley
Summary
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Chapter title
MP-RA: Towards a Model-Driven and Pattern-Based Risk Analysis of e-Service Fraud
Chapter number 14
Book title
Services – SERVICES 2018
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-94472-2_14
Book ISBNs
978-3-31-994471-5, 978-3-31-994472-2
Authors

Ahmed Seid Yesuf, Yesuf, Ahmed Seid

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Economics, Econometrics and Finance 1 25%
Unknown 2 50%

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