data mining; random forests; Kraft pulping process; recovery boiler; atmospheric pollutants
Abstract :
[en] A data mining methodology, the random forests, is applied to analyze pollutant
emission from the recovery boiler of a Kraft pulping process. Starting from a large
database of raw process data, the goal is to identify the input variables that explain the
most output variations.
