228 search results - page 7 / 46 » Efficiently Mining Regional Outliers in Spatial Data |
ADBIS
2000
Springer
13 years 11 months ago
2000
Springer
A number of algorithms of clustering spatial data for reducing the number of disk seeks required to process spatial queries have been developed. One of the algorithms is the scheme...
VLDB
1998
ACM
13 years 12 months ago
1998
ACM
This paper deals with finding outliers (exceptions) in large, multidimensional datasets. The identification of outliers can lead to the discovery of truly unexpected knowledge in ...
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
SSD
2001
Springer
14 years 4 days 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...
KDD
2006
ACM
14 years 8 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...