↓ Skip to main content

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 Data Modeling for Mobile Services in the Real World
  3. Altmetric Badge
    Chapter 2 Performance Evaluation of Main-Memory R-tree Variants
  4. Altmetric Badge
    Chapter 3 The BTR-Tree: Path-Defined Version-Range Splitting in a Branched and Temporal Structure
  5. Altmetric Badge
    Chapter 4 Bkd-Tree: A Dynamic Scalable kd-Tree
  6. Altmetric Badge
    Chapter 5 Efficient Object-Relational Interval Management and Beyond
  7. Altmetric Badge
    Chapter 6 Efficient k-NN Search on Streaming Data Series
  8. Altmetric Badge
    Chapter 7 On Query Processing and Optimality Using Spectral Locality-Preserving Mappings
  9. Altmetric Badge
    Chapter 8 Categorical Range Queries in Large Databases
  10. Altmetric Badge
    Chapter 9 Probabilistic Spatial Database Operations
  11. Altmetric Badge
    Chapter 10 Validity Information Retrieval for Spatio-Temporal Queries: Theoretical Performance Bounds
  12. Altmetric Badge
    Chapter 11 Exploiting the Multi-Append-Only-Trend Property of Historical Data in Data Warehouses
  13. Altmetric Badge
    Chapter 12 Cross-Outlier Detection
  14. Altmetric Badge
    Chapter 13 Accessing Scientific Data: Simpler is Better
  15. Altmetric Badge
    Chapter 14 Optimization of Spatial Joins on Mobile Devices
  16. Altmetric Badge
    Chapter 15 On Spatial-Range Closest-Pair Query
  17. Altmetric Badge
    Chapter 16 Evaluation of Iceberg Distance Joins
  18. Altmetric Badge
    Chapter 17 Indexing Objects Moving on Fixed Networks
  19. Altmetric Badge
    Chapter 18 On-Line Discovery of Dense Areas in Spatio-temporal Databases
  20. Altmetric Badge
    Chapter 19 Accuracy and Resource Consumption in Tracking and Location Prediction
  21. Altmetric Badge
    Chapter 20 Region-Based Query Languages for Spatial Databases in the Topological Data Model
  22. Altmetric Badge
    Chapter 21 Query Pre-processing of Topological Constraints: Comparing a Composition-Based with Neighborhood-Based Approach
  23. Altmetric Badge
    Chapter 22 Logical Data Expiration for Fixpoint Extensions of Temporal Logics
  24. Altmetric Badge
    Chapter 23 A Multi-representation Spatial Data Model
  25. Altmetric Badge
    Chapter 24 Learning Similarity with Fuzzy Functions of Adaptable Complexity
  26. Altmetric Badge
    Chapter 25 Spatial Similarity Queries with Logical Operators
  27. Altmetric Badge
    Chapter 26 Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries
  28. Altmetric Badge
    Chapter 27 Automatically Annotating and Integrating Spatial Datasets
  29. Altmetric Badge
    Chapter 28 Location- and Time-Based Information Delivery in Tourism
  30. Altmetric Badge
    Chapter 29 Building a Robust Relational Implementation of Topology
Attention for Chapter 26: Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries
Altmetric Badge

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
26 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.
Chapter title
Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries
Chapter number 26
Book title
Advances in Spatial and Temporal Databases
Published by
Springer, Berlin, Heidelberg, July 2003
DOI 10.1007/978-3-540-45072-6_26
Book ISBNs
978-3-54-040535-1, 978-3-54-045072-6
Authors

Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar, Zhang, Pusheng, Huang, Yan, Shekhar, Shashi, Kumar, Vipin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
India 1 4%
Canada 1 4%
Unknown 23 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Researcher 5 19%
Student > Master 5 19%
Student > Doctoral Student 2 8%
Other 1 4%
Other 3 12%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 12 46%
Environmental Science 4 15%
Engineering 2 8%
Agricultural and Biological Sciences 2 8%
Mathematics 1 4%
Other 2 8%
Unknown 3 12%