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148
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KDD
2006
ACM
16 years 5 months ago
2006
ACM
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
147
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KDD
2005
ACM
16 years 5 months ago
2005
ACM
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
146
Voted
KDD
2005
ACM
16 years 5 months ago
2005
ACM
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
145
Voted
KDD
2004
ACM
16 years 5 months ago
2004
ACM
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
183
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KDD
2003
ACM
16 years 5 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...