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198
Voted
ICDE
1999
IEEE
16 years 2 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
110
Voted
KDD
2004
ACM
16 years 1 months ago
2004
ACM
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
131
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DASFAA
2006
IEEE
15 years 6 months ago
2006
IEEE
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the n...
99
Voted
KBSE
2005
IEEE
15 years 6 months ago
2005
IEEE
Localizing the cause(s) of an observable error lies at the heart of program debugging. Fault localization often proceeds by comparing the failing program run with some “successf...
124
Voted
SSD
2005
Springer
15 years 6 months ago
2005
Springer
Assume that a franchise plans to open k branches in a city, so that the average distance from each residential block to the closest branch is minimized. This is an instance of the ...