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» Algorithms for Spatial Outlier Detection
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PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
13 years 12 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
SIGMOD
2000
ACM
137views Database» more  SIGMOD 2000»
13 years 12 months ago
LOF: Identifying Density-Based Local Outliers
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common pattern...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
CIKM
2007
Springer
14 years 1 months ago
Detecting distance-based outliers in streams of data
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
Fabrizio Angiulli, Fabio Fassetti
ICDE
2009
IEEE
125views Database» more  ICDE 2009»
14 years 9 months ago
Temporal Outlier Detection in Vehicle Traffic Data
Outlier detection in vehicle traffic data is a practical problem that has gained traction lately due to an increasing capability to track moving vehicles in city roads. In contrast...
Xiaolei Li, Zhenhui Li, Jiawei Han, Jae-Gil Lee
ICDE
2011
IEEE
338views Database» more  ICDE 2011»
12 years 11 months ago
Outlier detection on uncertain data: Objects, instances, and inferences
—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...
Bin Jiang, Jian Pei