Generation of process models for dyeing process using association rule mining

This paper uses prior domain knowledge to guide the mining of association rules in the dyeing business process atmosphere. This approach is employed so as to beat the drawbacks of data mining using rule induction such as loss of info, discover too several obvious patterns, obvious patterns, and mining of overcome association rules. association rules. an information mining interactive rule induction association rules. an information mining interactive rule induction algorithm is introduced to mine rules at micro levels. micro levels. The strip-mined rules describe the impact of various shades of the colors, conceiver of the treatment, treatment details Existing to improve the dyeing process quality and production growth.