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Although this may look a disadvantage of AnnSim, we consider that grouping terms that share at least one property can be useful in data mining process where the discovery of properties of similar but no equal objects, is an important task.
Thus, multiple linear regression is an efficient tool in the analysis of individual datasets designed by statistical design of experiments (e.g., Plackett-Burman and Box-Behnken) but not useful in data mining of more complicated datasets like the one examined in here.
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Association rules, one of the most useful constructs in data mining, can be exerted to capture interesting dependencies between variables in large datasets.
EFO has also proven to be useful for text mining annotation of gene expression datasets and has been used in data mining.
Frequent pattern mining is an essential theme in data mining.
Data preprocessing is a major step in data mining.
Data preprocessing is a significant step in data mining.
There is a wide range of possibilities in data mining.
LT participated in data mining and design of some figures.
Clustering methods are typical tools in data mining.
JL is senior research scientist in data mining.
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