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» Join Indices as a Tool for Spatial Data Mining
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TKDE
1998
122views more  TKDE 1998»
13 years 5 months ago
The Design and Implementation of Seeded Trees: An Efficient Method for Spatial Joins
—Existing methods for spatial joins require pre-existing spatial indices or other precomputation, but such approaches are inefficient and limited in generality. Operand data sets...
Ming-Ling Lo, Chinya V. Ravishankar
GIS
2004
ACM
14 years 6 months ago
A partial join approach for mining co-location patterns
Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. We identified the computational bottleneck in the...
Jin Soung Yoo, Shashi Shekhar
IDA
1999
Springer
13 years 9 months ago
Knowledge-Based Visualization to Support Spatial Data Mining
Data mining methods are designed for revealing significant relationships and regularities in data collections. Regarding spatially referenced data, analysis by means of data minin...
Gennady L. Andrienko, Natalia V. Andrienko
GIS
2008
ACM
14 years 6 months ago
Should SDBMS support a join index?: a case study from CrimeStat
Given a spatial crime data warehouse, that is updated infrequently and a set of operations O as well as constraints of storage and update overheads, the index type selection probl...
Pradeep Mohan, Ronald E. Wilson, Shashi Shekhar, B...
ICDE
1998
IEEE
142views Database» more  ICDE 1998»
14 years 6 months ago
High Dimensional Similarity Joins: Algorithms and Performance Evaluation
Current data repositories include a variety of data types, including audio, images and time series. State of the art techniques for indexing such data and doing query processing r...
Nick Koudas, Kenneth C. Sevcik