基于拟间接依赖的过程模型挖掘方法

过程挖掘旨在从信息系统所记录的事件日志中挖掘出人们需要的且合理的过程模型,从而有助于改善或重建业务流程。以往的方法大多是根据任务间的直接依赖关系构建过程模型,具有很大的局限性。现存的过程挖掘方法中,虽然有能挖掘间接依赖的方法,其却没有从过程行为的角度进行分析。基于拟间接依赖的过程模型挖掘方法,把行为轮廓融入其中,依据行为轮廓建立初始模型；然后基于增量日志和拟间接依赖关系调整模型；最后根据评价标准选出最优模型。此方法特别适用于挖掘含有间接依赖的过程模型。

Method of Process Models Mining Based on Quasi Indirect Dependence

Process mining aims to achieve the reasonable process model which we need from the event logs recorded by information system,which helps us to improve or rebuild the business process.In the past,the process model based on the direct dependence between the tasks has a lot of limitations.Although there are many methods can discover indirect dependence,they do not do analysis from the perspective of the process behavior.The process mining algorithm based on quasi indirect dependence takes the behavioral profiles into account and the initial model is established according to the behavioral profiles.Then model is adjusted based on incremental logs and quasi indirect dependence.Finally,the optimal model is selected according to the evaluation criteria.This method is especially suitable for mining the process model with indirect dependence.