2277 search results - page 215 / 456 » Clustering by pattern similarity in large data sets |
193
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
171
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DATAMINE
2006
15 years 6 months ago
2006
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
164
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SIGIR
2006
ACM
16 years 17 days ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
187
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NAR
2002
15 years 6 months ago
2002
The prediction of operons, the smallest unit of transcription in prokaryotes, is the first step towards reconstruction of a regulatory network at the whole genome level. Sequence ...
154
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...