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Databases Theory and Applications

Overview of attention for book
Cover of 'Databases Theory and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Semantic Round-Tripping in Conceptual Modelling Using Restricted Natural Language
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    Chapter 2 PAIC: Parallelised Attentive Image Captioning
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    Chapter 3 Efficient k NN Search with Occupation in Large-Scale On-demand Ride-Hailing
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    Chapter 4 Trace-Based Approach for Consistent Construction of Activity-Centric Process Models from Data-Centric Process Models
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    Chapter 5 Approximate Fault Tolerance for Sensor Stream Processing
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    Chapter 6 Function Interpolation for Learned Index Structures
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    Chapter 7 DEFINE: Friendship Detection Based on Node Enhancement
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    Chapter 8 Semi-supervised Cross-Modal Hashing with Graph Convolutional Networks
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    Chapter 9 Typical Snapshots Selection for Shortest Path Query in Dynamic Road Networks
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    Chapter 10 A Survey on Map-Matching Algorithms
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    Chapter 11 Gaussian Embedding of Large-Scale Attributed Graphs
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    Chapter 12 Geo-Social Temporal Top-k Queries in Location-Based Social Networks
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    Chapter 13 Effective and Efficient Community Search in Directed Graphs Across Heterogeneous Social Networks
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    Chapter 14 Entity Extraction with Knowledge from Web Scale Corpora
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    Chapter 15 Graph-Based Relation-Aware Representation Learning for Clothing Matching
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    Chapter 16 Evaluating Random Walk-Based Network Embeddings for Web Service Applications
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    Chapter 17 Query-Oriented Temporal Active Intimate Community Search
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    Chapter 18 A Contextual Semantic-Based Approach for Domain-Centric Lexicon Expansion
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    Chapter 19 Data-Driven Hierarchical Neural Network Modeling for High-Pressure Feedwater Heater Group
  21. Altmetric Badge
    Chapter 20 Early Detection of Diabetic Eye Disease from Fundus Images with Deep Learning
Attention for Chapter 7: DEFINE: Friendship Detection Based on Node Enhancement
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Chapter title
DEFINE: Friendship Detection Based on Node Enhancement
Chapter number 7
Book title
Databases Theory and Applications
Published in
arXiv, February 2020
DOI 10.1007/978-3-030-39469-1_7
Book ISBNs
978-3-03-039468-4, 978-3-03-039469-1
Authors

Hanxiao Pan, Teng Guo, Hayat Dino Bedru, Qing Qing, Dongyu Zhang, Feng Xia, Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Pan, Hanxiao, Guo, Teng, Bedru, Hayat Dino, Qing, Qing, Zhang, Dongyu, Xia, Feng

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Nursing and Health Professions 1 33%
Computer Science 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2020.
All research outputs
#20,601,627
of 23,189,371 outputs
Outputs from arXiv
#681,798
of 954,780 outputs
Outputs of similar age
#375,991
of 449,955 outputs
Outputs of similar age from arXiv
#18,610
of 27,353 outputs
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So far Altmetric has tracked 954,780 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 27,353 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.