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New Trends in Databases and Information Systems

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Distributing N-Gram Graphs for Classification
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    Chapter 2 Assessing the Quality of Spatio-Textual Datasets in the Absence of Ground Truth
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    Chapter 3 T $$^2$$ K $$^2$$ : The Twitter Top-K Keywords Benchmark
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    Chapter 4 Outlier Detection in Data Streams Using OLAP Cubes
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    Chapter 5 Balancing Performance and Energy for Lightweight Data Compression Algorithms
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    Chapter 6 Asynchronous Graph Pattern Matching on Multiprocessor Systems
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    Chapter 7 Predicting Access to Persistent Objects Through Static Code Analysis
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    Chapter 8 Query-Driven Knowledge-Sharing for Data Integration and Collaborative Data Science
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    Chapter 9 A Declarative Approach to Analyzing Schema Objects and Functional Dependencies
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    Chapter 10 Dear Mobile Agent, Could You Please Find Me a Parking Space?
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    Chapter 11 P2P Deductive Databases: Well Founded Semantics and Distributed Computation
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    Chapter 12 Is Distributed Database Evaluation Cloud-Ready?
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    Chapter 13 New Trends in Databases and Information Systems: Contributions from ADBIS 2017 Workshops
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    Chapter 14 Publication Data Integration as a Tool for Excellence-Based Research Analysis at the University of Latvia
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    Chapter 15 Evaluating Reference String Extraction Using Line-Based Conditional Random Fields: A Case Study with German Language Publications
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    Chapter 16 CEUR Make GUI - A Usable Web Frontend Supporting the Workflow of Publishing Proceedings of Scientific Workshops
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    Chapter 17 A Framework for Temporal Ontology-Based Data Access: A Proposal
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    Chapter 18 Towards Semantic Assessment of Summarizability in Self-service Business Intelligence
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    Chapter 19 Theta Architecture: Preserving the Quality of Analytics in Data-Driven Systems
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    Chapter 20 Spatio-Temporal Evolution of Scientific Knowledge
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    Chapter 21 Parallel Subspace Clustering Using Multi-core and Many-core Architectures
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    Chapter 22 Discovering High-Utility Itemsets at Multiple Abstraction Levels
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    Chapter 23 Automatic Organization of Semantically Related Tags Using Topic Modelling
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    Chapter 24 Fuzzy Recommendations in Marketing Campaigns
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    Chapter 25 Efficient Data Management for Putting Forward Data Centric Sciences
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    Chapter 26 Towards a Multi-way Similarity Join Operator
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    Chapter 27 Workload-Independent Data-Driven Vertical Partitioning
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    Chapter 28 Can SQ and EQ Values and Their Difference Indicate Programming Aptitude to Reduce Dropout Rate?
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    Chapter 29 Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures
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    Chapter 30 Data Science Techniques for Law and Justice: Current State of Research and Open Problems
  32. Altmetric Badge
    Chapter 31 Using Data Analytics for Continuous Improvement of CRM Processes: Case of Financial Institution
  33. Altmetric Badge
    Chapter 32 Towards a Data Science Environment for Modeling Business Ecosystems: The Connected Mobility Case
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    Chapter 33 Introducing Narratives in Europeana: Preliminary Steps
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    Chapter 34 Evaluation of Semantic Web Ontologies for Modelling Art Collections
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    Chapter 35 The CrossCult Knowledge Base: A Co-inhabitant of Cultural Heritage Ontology and Vocabulary Classification
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    Chapter 36 The Port History Ontology
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    Chapter 37 A WordNet Ontology in Improving Searches of Digital Dialect Dictionary
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    Chapter 38 When It Comes to Querying Semantic Cultural Heritage Data
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    Chapter 39 Preference-Based Stream Analysis for Efficient Decision-Support Systems
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    Chapter 40 Formalization of Database Reverse Engineering
  42. Altmetric Badge
    Chapter 41 Supporting Conceptual Modelling in ORM by Reasoning
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
facebook
1 Facebook page

Readers on

mendeley
117 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
New Trends in Databases and Information Systems
Published by
arXiv, January 2017
DOI 10.1007/978-3-319-67162-8
ISBNs
978-3-31-967161-1, 978-3-31-967162-8
Authors

Ciprian-Octavian Truică, Jérôme Darmont

Editors

Mārīte Kirikova, Kjetil Nørvåg, George A. Papadopoulos, Johann Gamper, Robert Wrembel, Jérôme Darmont, Stefano Rizzi

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 <1%
Professor > Associate Professor 1 <1%
Researcher 1 <1%
Student > Doctoral Student 1 <1%
Unknown 113 97%
Readers by discipline Count As %
Computer Science 2 2%
Engineering 1 <1%
Unknown 114 97%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 November 2021.
All research outputs
#2,411,858
of 23,509,982 outputs
Outputs from arXiv
#41,454
of 972,279 outputs
Outputs of similar age
#50,666
of 423,671 outputs
Outputs of similar age from arXiv
#793
of 16,504 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 972,279 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 423,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 16,504 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.