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Handbook of Big Data Technologies

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Cover of 'Handbook of Big Data Technologies'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Big Data Storage and Data Models
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    Chapter 2 Big Data Programming Models
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    Chapter 3 Programming Platforms for Big Data Analysis
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    Chapter 4 Big Data Analysis on Clouds
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    Chapter 5 Data Organization and Curation in Big Data
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    Chapter 6 Big Data Query Engines
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    Chapter 7 Large-Scale Data Stream Processing Systems
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    Chapter 8 Semantic Data Integration
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    Chapter 9 Linked Data Management
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    Chapter 10 Non-native RDF Storage Engines
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    Chapter 11 Exploratory Ad-Hoc Analytics for Big Data
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    Chapter 12 Pattern Matching Over Linked Data Streams
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    Chapter 13 Searching the Big Data: Practices and Experiences in Efficiently Querying Knowledge Bases
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    Chapter 14 Management and Analysis of Big Graph Data: Current Systems and Open Challenges
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    Chapter 15 Similarity Search in Large-Scale Graph Databases
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    Chapter 16 Big-Graphs: Querying, Mining, and Beyond
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    Chapter 17 Link and Graph Mining in the Big Data Era
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    Chapter 18 Granular Social Network: Model and Applications
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    Chapter 19 Big Data, IoT and Semantics
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    Chapter 20 SCADA Systems in the Cloud
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    Chapter 21 Quantitative Data Analysis in Finance
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    Chapter 22 Emerging Cost Effective Big Data Architectures
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    Chapter 23 Bringing High Performance Computing to Big Data Algorithms
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    Chapter 24 Cognitive Computing: Where Big Data Is Driving Us
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    Chapter 25 Privacy-Preserving Record Linkage for Big Data: Current Approaches and Research Challenges
Attention for Chapter 14: Management and Analysis of Big Graph Data: Current Systems and Open Challenges
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Chapter title
Management and Analysis of Big Graph Data: Current Systems and Open Challenges
Chapter number 14
Book title
Handbook of Big Data Technologies
Published by
Springer International Publishing, February 2017
DOI 10.1007/978-3-319-49340-4_14
Book ISBNs
978-3-31-949339-8, 978-3-31-949340-4
Authors

Martin Junghanns, André Petermann, Martin Neumann, Erhard Rahm

Editors

Albert Y. Zomaya, Sherif Sakr

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 32%
Student > Master 10 14%
Researcher 6 8%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 15 21%
Unknown 8 11%
Readers by discipline Count As %
Computer Science 45 63%
Engineering 10 14%
Environmental Science 1 1%
Agricultural and Biological Sciences 1 1%
Mathematics 1 1%
Other 2 3%
Unknown 12 17%