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Advances in Spatial and Temporal Databases

Overview of attention for book
Cover of 'Advances in Spatial and Temporal Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Keynote Speech: Underexplored Research Topics from the Commercial World
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    Chapter 2 SSCP: Mining Statistically Significant Co-location Patterns
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    Chapter 3 An Ontology-Based Traffic Accident Risk Mapping Framework
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    Chapter 4 Comparing Predictive Power in Climate Data: Clustering Matters
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    Chapter 5 Region of Interest Queries in CT Scans
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    Chapter 6 A Critical-Time-Point Approach to All-Start-Time Lagrangian Shortest Paths: A Summary of Results
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    Chapter 7 Online Computation of Fastest Path in Time-Dependent Spatial Networks
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    Chapter 8 Advances in Spatial and Temporal Databases
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    Chapter 9 Finding Top-k Shortest Path Distance Changes in an Evolutionary Network
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    Chapter 10 FAST: A Generic Framework for Flash-Aware Spatial Trees
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    Chapter 11 Advances in Spatial and Temporal Databases
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    Chapter 12 Thread-Level Parallel Indexing of Update Intensive Moving-Object Workloads
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    Chapter 13 Efficient Processing of Top-k Spatial Keyword Queries
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    Chapter 14 Retrieving k-Nearest Neighboring Trajectories by a Set of Point Locations
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    Chapter 15 Towards Reducing Taxicab Cruising Time Using Spatio-Temporal Profitability Maps
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    Chapter 16 Computing the Cardinal Direction Development between Moving Points in Spatio-temporal Databases
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    Chapter 17 Continuous Probabilistic Count Queries in Wireless Sensor Networks
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    Chapter 18 Geodetic Point-In-Polygon Query Processing in Oracle Spatial
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    Chapter 19 MSSQ: Manhattan Spatial Skyline Queries
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    Chapter 20 Inverse Queries for Multidimensional Spaces
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    Chapter 21 Efficient Evaluation of k -NN Queries Using Spatial Mashups
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    Chapter 22 SeTraStream: Semantic-Aware Trajectory Construction over Streaming Movement Data
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    Chapter 23 Mining Significant Time Intervals for Relationship Detection
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    Chapter 24 A Uniform Framework for Temporal Functional Dependencies with Multiple Granularities
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    Chapter 25 Quality of Similarity Rankings in Time Series
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    Chapter 26 Managing and Mining Multiplayer Online Games
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    Chapter 27 Citizens as Database: Conscious Ubiquity in Data Collection
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    Chapter 28 Spatial Data Management over Flash Memory
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    Chapter 29 Tipping Points, Butterflies, and Black Swans: A Vision for Spatio-temporal Data Mining Analysis
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    Chapter 30 On User-Generated Geocontent
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    Chapter 31 Localizing the Internet: Implications of and Challenges in Geo-locating Everything Digital
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    Chapter 32 From Geography to Medicine: Exploring Innerspace via Spatial and Temporal Databases
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    Chapter 33 Smarter Water Management: A Challenge for Spatio-Temporal Network Databases
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    Chapter 34 FlexTrack : A System for Querying Flexible Patterns in Trajectory Databases
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    Chapter 35 A System for Discovering Regions of Interest from Trajectory Data
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    Chapter 36 MARiO: Multi-Attribute Routing in Open Street Map
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    Chapter 37 TiP : Analyzing Periodic Time Series Patterns
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    Chapter 38 An Extensibility Approach for Spatio-temporal Stream Processing Using Microsoft StreamInsight
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    Chapter 39 Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser
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    Chapter 40 A Visual Evaluation Framework for Spatial Pruning Methods
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    Chapter 41 Spatial Outlier Detection: Data, Algorithms, Visualizations
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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

1 X user
5 Wikipedia pages
1 Q&A thread


8 Dimensions

Readers on

9 Mendeley
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Advances in Spatial and Temporal Databases
Published by
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-22922-0
978-3-64-222921-3, 978-3-64-222922-0

Dieter Pfoser, Yufei Tao, Kyriakos Mouratidis, Mario A. Nascimento, Mohamed Mokbel, Shashi Shekhar, Yan Huang


Pfoser, Dieter, Tao, Yufei, Mouratidis, Kyriakos, Nascimento, Mario A., Mokbel, Mohamed, Shekhar, Shashi, Huang, Yan

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 44%
Student > Ph. D. Student 2 22%
Professor > Associate Professor 1 11%
Professor 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 3 33%
Engineering 3 33%
Earth and Planetary Sciences 1 11%
Business, Management and Accounting 1 11%
Unknown 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 July 2020.
All research outputs
of 22,901,818 outputs
Outputs from Lecture notes in computer science
of 8,129 outputs
Outputs of similar age
of 181,079 outputs
Outputs of similar age from Lecture notes in computer science
of 317 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 181,079 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 83% of its contemporaries.
We're also able to compare this research output to 317 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.