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185
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SDM
2009
SIAM
16 years 4 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
197
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CIKM
2011
Springer
14 years 7 months ago
2011
Springer
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
341
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ICDE
2008
IEEE
16 years 8 months ago
2008
IEEE
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
231
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SIGKDD
2010
15 years 1 months ago
2010
Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...
202
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...