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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
  27. Altmetric Badge
    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
Attention for Chapter 41: Spatial Outlier Detection: Data, Algorithms, Visualizations
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

wikipedia
2 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
23 Mendeley
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Chapter title
Spatial Outlier Detection: Data, Algorithms, Visualizations
Chapter number 41
Book title
Advances in Spatial and Temporal Databases
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-22922-0_41
Book ISBNs
978-3-64-222921-3, 978-3-64-222922-0
Authors

Elke Achtert, Ahmed Hettab, Hans-Peter Kriegel, Erich Schubert, Arthur Zimek, Achtert, Elke, Hettab, Ahmed, Kriegel, Hans-Peter, Schubert, Erich, Zimek, Arthur

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 26%
Student > Ph. D. Student 5 22%
Student > Postgraduate 3 13%
Student > Bachelor 2 9%
Professor 2 9%
Other 3 13%
Unknown 2 9%
Readers by discipline Count As %
Computer Science 11 48%
Agricultural and Biological Sciences 3 13%
Biochemistry, Genetics and Molecular Biology 1 4%
Mathematics 1 4%
Economics, Econometrics and Finance 1 4%
Other 2 9%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 November 2011.
All research outputs
#5,504,362
of 22,662,201 outputs
Outputs from Lecture notes in computer science
#1,735
of 8,123 outputs
Outputs of similar age
#40,288
of 180,278 outputs
Outputs of similar age from Lecture notes in computer science
#45
of 318 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 180,278 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 77% of its contemporaries.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.