Data Mining is an analytic process designed to explore data in search of consistent patterns
and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data.
The process of data mining consists of three stages (1) the initial exploration (2) model building or pattern identification (3) deployment...
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Boosted trees has recently emerged as one of the most powerful methods for predictive data mining.
STATISTICA Data Miner includes an advanced Boosted Trees module for classification or regression prediction...
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