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ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
DMKD
2003
ACM
14 years 24 days ago
2003
ACM
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents a novel algorithm to cluster emails according to their contents and the sentence styles of their subject lines. In our algorithm, natural language processing t...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...