A Novel Approach to Mine Frequent Item sets of Process Models for Dyeing Process using Association Rule Mining

Provided by: IJCER
Topic: Data Management
Format: PDF
A noval approach of 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 in this presented paper. Dyeing process using apriori algorithm. but apriori algorithm has some drawback like more execution time, cannot handle the large amount of data. Now, the authors propose modified apriori algorithm that applied in dyeing process model to generate frequent pattern and remove the drawback of apriori algorithm in term of execution time, handle the large amount of data. They proposed work Evaluating and analyzing the usefulness and application of the association rule mining algorithms and as it was implemented to obtain simpler process models for the dyeing domain.

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