An Interactive System using Association Rule Discovery for Dyeing Processing System

This paper uses prior domain knowledge to guide the mining of association rules in the dyeing business process environment. This approach is used in order to overcome the drawbacks of data mining using rule induction such as loss of information, discover too many obvious patterns, and mining of overwhelmed association rules. A data mining interactive rule induction algorithm is introduced to mine rules at micro levels. The mined rules describe the impact of different shades of the colours, originator of the treatment, treatment details to improve the dyeing process quality and production growth. A system was built based on this algorithm and was tested and verified on real data set in Emerald Dyeing unit, which is the leading dyeing industry in Andhra Pradesh, India. Hence, this paper contributes more on to derive simple interactive system called process model using association rule mining algorithm for dyeing processing system.