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Advances in Databases and Information Systems

Overview of attention for book
Cover of 'Advances in Databases and Information Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Blockchains and Databases: Opportunities and Challenges for the Permissioned and the Permissionless
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    Chapter 2 Processing Temporal and Time Series Data: Present State and Future Challenges
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    Chapter 3 Integrating (Very) Heterogeneous Data Sources: A Structured and an Unstructured Perspective
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    Chapter 4 Upper Bound on the Size of FP-Tree
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    Chapter 5 An Efficient Index for Reachability Queries in Public Transport Networks
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    Chapter 6 Context-Free Path Querying by Kronecker Product
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    Chapter 7 Pattern Sampling in Distributed Databases
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    Chapter 8 Can We Probabilistically Generate Uniformly Distributed Relation Instances Efficiently?
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    Chapter 9 Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning
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    Chapter 10 Fake News Detection Based on Subjective Opinions
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    Chapter 11 Improving on Coalitional Prediction Explanation
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    Chapter 12 JSON Functionally
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    Chapter 13 Template-Based Multi-solution Approach for Data-to-Text Generation
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    Chapter 14 Distributed Tree-Pattern Matching in Big Data Analytics Systems
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    Chapter 15 Iterations for Propensity Score Matching in MonetDB
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    Chapter 16 The Tell-Tale Cube
Attention for Chapter 14: Distributed Tree-Pattern Matching in Big Data Analytics Systems
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Chapter title
Distributed Tree-Pattern Matching in Big Data Analytics Systems
Chapter number 14
Book title
Advances in Databases and Information Systems
Published by
Springer, Cham, August 2020
DOI 10.1007/978-3-030-54832-2_14
Book ISBNs
978-3-03-054831-5, 978-3-03-054832-2
Authors

Ralf Diestelkämper, Melanie Herschel, Diestelkämper, Ralf, Herschel, Melanie

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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