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Big Data Technologies and Applications

Overview of attention for book
Cover of 'Big Data Technologies and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Introduction to Big Data
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    Chapter 2 Big Data Analytics
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    Chapter 3 Transfer Learning Techniques
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    Chapter 4 Visualizing Big Data
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    Chapter 5 Deep Learning Techniques in Big Data Analytics
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    Chapter 6 The HPCC/ECL Platform for Big Data
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    Chapter 7 Scalable Automated Linking Technology for Big Data Computing
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    Chapter 8 Aggregated Data Analysis in HPCC Systems
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    Chapter 9 Models for Big Data
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    Chapter 10 Data Intensive Supercomputing Solutions
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    Chapter 11 Graph Processing with Massive Datasets: A Kel Primer
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    Chapter 12 HPCC Systems for Cyber Security Analytics
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    Chapter 13 Social Network Analytics: Hidden and Complex Fraud Schemes
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    Chapter 14 Modeling Ebola Spread and Using HPCC/KEL System
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    Chapter 15 Unsupervised Learning and Image Classification in High Performance Computing Cluster
Attention for Chapter 6: The HPCC/ECL Platform for Big Data
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Citations

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Readers on

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5 Mendeley
Summary Dimensions citations
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Chapter title
The HPCC/ECL Platform for Big Data
Chapter number 6
Book title
Big Data Technologies and Applications
Published by
Springer International Publishing, September 2016
DOI 10.1007/978-3-319-44550-2_6
Book ISBNs
978-3-31-944548-9, 978-3-31-944550-2
Authors

Anthony M. Middleton, David Alan Bayliss, Gavin Halliday, Arjuna Chala, Borko Furht

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Researcher 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 1 20%
Unknown 4 80%

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