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166
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KDD
2007
ACM
16 years 4 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
123
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KDD
2007
ACM
16 years 4 months ago
2007
ACM
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
156
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
125
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
145
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...