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180
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DMIN
2006
15 years 8 months ago
2006
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
218
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
184
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DMKD
1997
ACM
15 years 10 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
170
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
145
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KDD
2002
ACM
16 years 7 months ago
2002
ACM
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents...