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Data Management Technologies and Applications

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

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Transfer Learning Focused on Asymmetric Heterogeneous Approaches
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    Chapter 2 A Mathematical Model for Customer Lifetime Value Based Offer Management
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    Chapter 3 Construction of Semantic Data Models
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    Chapter 4 Mining and Linguistically Interpreting Summaries from Surveyed Data Related to Financial Literacy and Behaviour
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    Chapter 5 Advanced Data Integration with Signifiers: Case Studies for Rail Automation
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    Chapter 6 Narrative Annotation of Content for Cultural Legacy Preservation
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    Chapter 7 Determining Appropriate Large Object Stores with a Multi-criteria Approach
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    Chapter 8 Player Performance Evaluation in Team-Based First-Person Shooter eSport
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    Chapter 9 Utilization Measures in a Learning Management System
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    Chapter 10 Experiences in the Development of a Data Management System for Genomics
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    Chapter 11 Server-Side Database Credentials: A Security Enhancing Approach for Database Access
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    Chapter 12 ChronoGraph: A Versioned TinkerPop Graph Database
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    Chapter 13 The Case for Personalized Anonymization of Database Query Results
Attention for Chapter 12: ChronoGraph: A Versioned TinkerPop Graph Database
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Readers on

mendeley
5 Mendeley
Summary
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Chapter title
ChronoGraph: A Versioned TinkerPop Graph Database
Chapter number 12
Book title
Data Management Technologies and Applications
Published by
Springer, Cham, July 2017
DOI 10.1007/978-3-319-94809-6_12
Book ISBNs
978-3-31-994808-9, 978-3-31-994809-6
Authors

Martin Haeusler, Thomas Trojer, Johannes Kessler, Matthias Farwick, Emmanuel Nowakowski, Ruth Breu

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 2 40%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Unknown 3 60%

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