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140
Voted
KDD
2007
ACM
16 years 2 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...
129
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
113
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CIKM
2005
Springer
15 years 7 months ago
2005
Springer
With this work we aim to make a three-fold contribution. We first address the issue of supporting efficiently queries over string-attributes involving prefix, suffix, containmen...
131
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KDD
2006
ACM
16 years 2 months ago
2006
ACM
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
107
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SIGMOD
2010
ACM
15 years 6 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...