19 search results - page 4 / 4 » Measuring interestingness of discovered skewed patterns in d... |
CINQ
2004
Springer
13 years 10 months ago
2004
Springer
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
EAAI
2007
13 years 5 months ago
2007
: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...