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Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges

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Cover of 'Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data in Healthcare: Challenges and Promise
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    Chapter 2 MEDIDRONE—A Predictive Analytics-Based Smart Healthcare System
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    Chapter 3 Sales Segmentation for a Mobile Phone Service Through Logistic Regression Algorithm
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    Chapter 4 Predictive Model for Detecting Customer’s Purchasing Behavior Using Data Mining
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    Chapter 5 Prediction Rules in E-Learning Systems Using Genetic Programming
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    Chapter 6 Database Knowledge Discovery in Marketing Companies
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    Chapter 7 Segmentation of Sales for a Mobile Phone Service Through CART Classification Tree Algorithm
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    Chapter 8 Influence of Knowledge Management Between the Bank and the Local Socioeconomic Development: Correlational Analysis
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    Chapter 9 Characterization of Latin American Universities in the TOP10 of the Rankings
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    Chapter 10 A Graph-Based Node Identification Model in Social Networks
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    Chapter 11 Automated Resource Management on AWS Cloud Platform
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    Chapter 12 Multiobjective Virtual Machine Placement Using Evolutionary Algorithm with Decomposition
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    Chapter 13 Reliable Broadcast Based Emergency Data Dissemination in VANET by Segmentation of Road Using Contention Window by Hybrid Partitioning Approach
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    Chapter 14 Managing Blockchain Projects with Agile Methodology
Attention for Chapter 9: Characterization of Latin American Universities in the TOP10 of the Rankings
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Citations

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14 Mendeley
Summary Dimensions citations
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Chapter title
Characterization of Latin American Universities in the TOP10 of the Rankings
Chapter number 9
Book title
Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges
Published by
Springer, Singapore, January 2020
DOI 10.1007/978-981-32-9889-7_9
Book ISBNs
978-9-81-329888-0, 978-9-81-329889-7
Authors

Maritza Torres-Samuel, Carmen Vásquez, Marisabel Luna, Nunziatina Bucci, Amelec Viloria, Jesús Vargas

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 29%
Professor 2 14%
Student > Master 1 7%
Lecturer 1 7%
Unknown 6 43%
Readers by discipline Count As %
Engineering 3 21%
Computer Science 2 14%
Business, Management and Accounting 2 14%
Social Sciences 1 7%
Psychology 1 7%
Other 0 0%
Unknown 5 36%

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