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Database and Expert Systems Applications

Overview of attention for book
Cover of 'Database and Expert Systems Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Horizontal and Vertical Business Process Model Integration
  3. Altmetric Badge
    Chapter 2 Structuring E-Participation in Policy Making through Argumentation
  4. Altmetric Badge
    Chapter 3 Making Collective Wisdom Wiser
  5. Altmetric Badge
    Chapter 4 Preferences Chain Guided Search and Ranking Refinement
  6. Altmetric Badge
    Chapter 5 Database and Expert Systems Applications
  7. Altmetric Badge
    Chapter 6 Permutation-Based Pruning for Approximate K-NN Search
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    Chapter 7 Dynamic Multi-probe LSH: An I/O Efficient Index Structure for Approximate Nearest Neighbor Search
  9. Altmetric Badge
    Chapter 8 Revisiting the Term Frequency in Concept-Based IR Models
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    Chapter 9 BioDI: A New Approach to Improve Biomedical Documents Indexing
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    Chapter 10 Discovering Semantics from Data-Centric XML
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    Chapter 11 Finding Image Semantics from a Hierarchical Image Database Based on Adaptively Combined Visual Features
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    Chapter 12 Formalization and Discovery of Approximate Conditional Functional Dependencies
  14. Altmetric Badge
    Chapter 13 Parallel Partitioning and Mining Gene Expression Data with Butterfly Network
  15. Altmetric Badge
    Chapter 14 Parallel and Distributed Mining of Probabilistic Frequent Itemsets Using Multiple GPUs
  16. Altmetric Badge
    Chapter 15 Taming Elephants, or How to Embed Parallelism into PostgreSQL
  17. Altmetric Badge
    Chapter 16 Effectively Delivering XML Information in Periodic Broadcast Environments
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    Chapter 17 GUN: An Efficient Execution Strategy for Querying the Web of Data
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    Chapter 18 Complex Matching of RDF Datatype Properties
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    Chapter 19 Coordination Issues in Artifact-Centric Business Process Models
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    Chapter 20 Exploring Data Locality for Clustered Enterprise Applications
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    Chapter 21 A Framework for Data-Driven Workflow Management: Modeling, Verification and Execution
  23. Altmetric Badge
    Chapter 22 Generic Top-k Query Processing with Breadth-First Strategies
  24. Altmetric Badge
    Chapter 23 Evaluating Spatial Skyline Queries on Changing Data
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    Chapter 24 SONIC: Scalable Multi-query OptimizatioN through Integrated Circuits
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    Chapter 25 XML Schema Transformations
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    Chapter 26 StdTrip+K: Design Rationale in the RDB-to-RDF Process
  28. Altmetric Badge
    Chapter 27 Organizing Scientific Competitions on the Semantic Web
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    Chapter 28 An Inductive Logic Programming-Based Approach for Ontology Population from the Web
  30. Altmetric Badge
    Chapter 29 Incremental Algorithms for Sampling Dynamic Graphs
  31. Altmetric Badge
    Chapter 30 CoDS: A Representative Sampling Method for Relational Databases
  32. Altmetric Badge
    Chapter 31 Publishing Trajectory with Differential Privacy: A Priori vs. A Posteriori Sampling Mechanisms
  33. Altmetric Badge
    Chapter 32 Towards Automated Compliance Checking in the Construction Industry
  34. Altmetric Badge
    Chapter 33 Quantifying Reviewer Credibility in Online Tourism
  35. Altmetric Badge
    Chapter 34 Classifying Twitter Users Based on User Profile and Followers Distribution
  36. Altmetric Badge
    Chapter 35 Fast Community Detection
  37. Altmetric Badge
    Chapter 36 Force-Directed Layout Community Detection
  38. Altmetric Badge
    Chapter 37 On the Composition of Digital Licenses in Collaborative Environments
  39. Altmetric Badge
    Chapter 38 The Hints from the Crowd Project
  40. Altmetric Badge
    Chapter 39 Database Technology: A World of Interaction
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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
2 X users
patent
2 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
14 Mendeley
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Title
Database and Expert Systems Applications
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-40285-2
ISBNs
978-3-64-240284-5, 978-3-64-240285-2
Authors

Hendrik Decker, Lenka Lhotská, Sebastian Link, Josef Basl, A Min Tjoa, Qin, Yongrui, Sheng, Quan Z., Mehdi, Muntazir, Wang, Hua, Xie, Dong

Editors

Decker, Hendrik, Tjoa, A Min, Basl, Josef, Link, Sebastian, Lhotská, Lenka

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 7%
Unknown 13 93%
Readers by discipline Count As %
Design 1 7%
Unknown 13 93%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 March 2020.
All research outputs
#3,800,040
of 22,880,230 outputs
Outputs from Lecture notes in computer science
#892
of 8,130 outputs
Outputs of similar age
#40,190
of 281,332 outputs
Outputs of similar age from Lecture notes in computer science
#37
of 315 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 88% 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 281,332 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 85% of its contemporaries.
We're also able to compare this research output to 315 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.