25 search results - page 3 / 5 » Fast mining of spatial collocations |
SSD
2001
Springer
13 years 10 months ago
2001
Springer
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
SAC
2002
ACM
13 years 5 months ago
2002
ACM
The Peano Count Tree (P-tree) is a quadrant-based lossless tree representation of the original spatial data. The idea of P-tree is to recursively divide the entire spatial data, s...
PAMI
2010
13 years 4 months ago
2010
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
ALT
2010
Springer
13 years 7 months ago
2010
Springer
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
KDD
2006
ACM
14 years 6 months ago
2006
ACM
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...