A Novel Approach to Mine Frequent Item Sets of Process Models for Cloud Computing Using Association Rule Mining
Process mining provides a new means to improve processes in a variety of application domains. These process mining techniques help organizations to uncover their actual business processes Frequent pattern mining algorithms are applied in the dyeing process due to difficulties of doing the coloring process in an efficient way. Previous work done on dyeing process using a-priori algorithm. But a-priori algorithm has some drawback like more execution time, cannot handle the large amount of data. Now, the authors propose modified a-priori algorithm that applied in dyeing process model to generate frequent pattern and remove the drawback of a-priori algorithm in term of execution time, handle the large amount of data.