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» Mining Outliers in Spatial Networks
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DASFAA
2006
IEEE
136views Database» more  DASFAA 2006»
13 years 10 months ago
Mining Outliers in Spatial Networks
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...
Wen Jin, Yuelong Jiang, Weining Qian, Anthony K. H...
ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
13 years 11 months ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz
ICDM
2003
IEEE
170views Data Mining» more  ICDM 2003»
13 years 10 months ago
Algorithms for Spatial Outlier Detection
A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial ...
Chang-Tien Lu, Dechang Chen, Yufeng Kou
SSD
2007
Springer
131views Database» more  SSD 2007»
13 years 10 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 4 months ago
ORDEN: outlier region detection and exploration in sensor networks
Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key fea...
Conny Franke, Michael Gertz