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Principles of Distributed Data Management in 2020?

Overview of attention for book
Cover of 'Principles of Distributed Data Management in 2020?'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Principles of Distributed Data Management in 2020?
  3. Altmetric Badge
    Chapter 2 The Science of Conceptual Modelling
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    Chapter 3 Probabilistic Logics in Expert Systems: Approaches, Implementations, and Applications
  5. Altmetric Badge
    Chapter 4 Multi-objective Optimal Combination Queries
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    Chapter 5 NEFOS: Rapid Cache-Aware Range Query Processing with Probabilistic Guarantees
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    Chapter 6 Reuse-Oriented Mapping Discovery for Meta-querier Customization
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    Chapter 7 Attribute Grammar for XML Integrity Constraint Validation
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    Chapter 8 Extracting Temporal Equivalence Relationships among Keywords from Time-Stamped Documents
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    Chapter 9 Codd Table Representations under Weak Possible World Semantics
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    Chapter 10 Efficient Early Top- k Query Processing in Overloaded P2P Systems
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    Chapter 11 Top- k Query Evaluation in Sensor Networks with the Guaranteed Accuracy of Query Results
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    Chapter 12 Learning Top-k Transformation Rules
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    Chapter 13 Privacy beyond Single Sensitive Attribute
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    Chapter 14 Privacy-Aware DaaS Services Composition
  16. Altmetric Badge
    Chapter 15 An Empirical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities
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    Chapter 16 Similar Subsequence Search in Time Series Databases
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    Chapter 17 Optimizing Predictive Queries on Moving Objects under Road-Network Constraints
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    Chapter 18 Real-Time Capable Data Management Architecture for Database-Driven 3D Simulation Systems
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    Chapter 19 Collecting and Managing Network-Matched Trajectories of Moving Objects in Databases
  21. Altmetric Badge
    Chapter 20 On Guaranteeing k-Anonymity in Location Databases
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    Chapter 21 Smeagol: A “Specific-to-General” Semantic Web Query Interface Paradigm for Novices
  23. Altmetric Badge
    Chapter 22 Browsing-Oriented Semantic Faceted Search
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    Chapter 23 An Efficient Algorithm for Topic Ranking and Modeling Topic Evolution
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    Chapter 24 Sampling the National Deep Web
  26. Altmetric Badge
    Chapter 25 A Bipartite Graph Model and Mutually Reinforcing Analysis for Review Sites
  27. Altmetric Badge
    Chapter 26 Genetic Algorithm for Finding Cluster Hierarchies
  28. Altmetric Badge
    Chapter 27 A File Search Method Based on Intertask Relationships Derived from Access Frequency and RMC Operations on Files
  29. Altmetric Badge
    Chapter 28 A General Top-k Algorithm for Web Data Sources
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    Chapter 29 Improving the Quality of Web Archives through the Importance of Changes
  31. Altmetric Badge
    Chapter 30 Alternative Query Generation for XML Keyword Search and Its Optimization
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    Chapter 31 K-Graphs: Selecting Top-k Data Sources for XML Keyword Queries
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    Chapter 32 Detecting Economic Events Using a Semantics-Based Pipeline
  34. Altmetric Badge
    Chapter 33 Edit Distance between XML and Probabilistic XML Documents
  35. Altmetric Badge
    Chapter 34 Towards an Automatic Characterization of Criteria
  36. Altmetric Badge
    Chapter 35 A Theoretical and Experimental Comparison of Algorithms for the Containment of Conjunctive Queries with Negation
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    Chapter 36 Data Integration over NoSQL Stores Using Access Path Based Mappings
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    Chapter 37 An Energy-Efficient Concurrency Control Algorithm for Mobile Ad-Hoc Network Databases
  39. Altmetric Badge
    Chapter 38 An Ontology-Based Method for Duplicate Detection in Web Data Tables
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    Chapter 39 Approaches for Semantically Annotating and Discovering Scientific Observational Data
  41. Altmetric Badge
    Chapter 40 A Scalable Tag-Based Recommender System for New Users of the Social Web
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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
14 X users
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 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
Principles of Distributed Data Management in 2020?
Published by
arXiv, November 2011
DOI 10.1007/978-3-642-23088-2
ISBNs
978-3-64-223087-5, 978-3-64-223088-2
Authors

Patrick Valduriez

Editors

Hameurlain, Abdelkader, Liddle, Stephen W., Schewe, Klaus-Dieter, Zhou, Xiaofang, Hameurlain, Abdelkader, Liddle, Stephen W., Schewe, Klaus-Dieter, Zhou, Xiaofang

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 50%
Student > Ph. D. Student 3 50%
Unspecified 3 50%
Professor > Associate Professor 1 17%
Student > Postgraduate 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 5 83%
Unspecified 4 67%
Decision Sciences 1 17%
Engineering 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 21 March 2019.
All research outputs
#1,610,975
of 25,837,817 outputs
Outputs from arXiv
#23,978
of 937,964 outputs
Outputs of similar age
#7,502
of 158,040 outputs
Outputs of similar age from arXiv
#63
of 3,061 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 937,964 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 158,040 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 3,061 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 97% of its contemporaries.