Development of BPMN Architecture using Integration of Data Mining

Abstract

Abstractata mining is an important factor of success for modern business processes. Modern Integrating data mining with business solutions will improve the business process model (BPM) and enhance the overall business process management framework. The proposed architecture promises to provide great support for flexible design, deployment and managementof business processes. Incorporating services of data mining in order to choose the appropriate business model, determining missing standards and deploying machine learning techniques in an applicable manner is a challenging task discussed in the paper. Theproposed work describes the overall contribution of data mining services and validates the novelty in architecture by defining user roles for business, decision mining and IT standards. Supervised and unsupervised learning technique is used for determining similarity between the proposed model and the previously stored models.