Mining decision to discover the relation of rules among decision points in a non-free choice construct

Decision mining is a combination of process mining and machine learning algorithms to retrieve information on how data attributes in a business process affect routing of a case. It analyzes decision point by looking for XOR-splits in petri-net workflow model and examining rules for each choice based on available attributes using decision tree. The rules for each decision point are based on the attribute´s influence to the case. Meanwhile, a non-free choice construct is a mixture of choice and synchronization, which will create limited choices in the workflow. The limitation of choice will then affect the rules found in non-free choice construct using decision mining technique. Limitation of rules makes it possible to examine the relation among rules in the workflow. The relation of these rules will emerge a certain property of a non-free choice construct. Rules for two decision points within a non-free choice construct will have similarities. Regarding to this, when the same rule is found during a decision mining process, we can determine that the decision points have a non-free choice relationship.