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Detect unexpected relationships in data sets with CliniMinerCliniMiner is a show of an undirected data-mining method for detecting unexpected relationships in large data sets. This tool predicts unexpected qualitative and quantitative phenomena in large data sets by unsupervised data mining where the combinations of items to examine explode. "Explode" means that processing the exhaustive combinations of statistical tests could take years.
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