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PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 1 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. ...
FAST
2009
14 years 7 months ago
Steps Toward Managing Lineage Metadata in Grid Clusters
The lineage of a piece of data is of utility to a wide range of domains. Several application-specific extensions have been built to facilitate tracking the origin of the output th...
Ashish Gehani, Minyoung Kim, Jian Zhang
JMM2
2007
122views more  JMM2 2007»
14 years 9 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma
68
Voted
TCSV
2008
94views more  TCSV 2008»
14 years 9 months ago
Human Activity Recognition Based on Silhouette Directionality
Recent advances in computer vision and pattern recognition have fuelled numerous initiatives that aim to intelligently recognize human activities. In this paper, we propose an algo...
Meghna Singh, Anup Basu, Mrinal K. Mandal
72
Voted
ICDM
2006
IEEE
148views Data Mining» more  ICDM 2006»
15 years 3 months ago
Data Mining Approaches to Criminal Career Analysis
— Narrative reports and criminal records are stored digitally across individual police departments, enabling the collection of this data to compile a nation-wide database of crim...
Jeroen S. de Bruin, Tim K. Cocx, Walter A. Kosters...