228 search results - page 17 / 46 » Efficiently Mining Regional Outliers in Spatial Data |
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
EDBT
2006
ACM
14 years 7 months ago
2006
ACM
Given a set of N multi-dimensional points, we study the computation of -quantiles according to a ranking function F, which is provided by the user at runtime. Specifically, F compu...
SIGMOD
1998
ACM
13 years 12 months ago
1998
ACM
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
PAKDD
2009
ACM
14 years 4 months ago
2009
ACM
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...