Because the existing decision points' rule mining methods only focused on the relationship between business objects ' attributes and decision points' branch decisions, they overlooked the impacts of the internal structural attributes of processes on the branch decisions. In order to solve this problem, this paper proposed a comprehensive decision rule discovery algorithm. By extracting the processes' intrinsic attributes, this algorithm considered both business objects' attributes and processes' internal structural attributes, so it could mine decision rules more accurately and completely. The algorithm was implemented and verified by experiments.%针对现有的决策点规则挖掘研究在挖掘时都只考虑了业务对象等过程外部对象的属性,而忽视了业务过程的内部属性——各决策点间的结构关系——对决策点的分支选择决策的影响,在深入研究过程内部属性提取方法的基础上,提出了一种基于过程挖掘的决策规则发现算法.该算法在挖掘决策规则时综合考虑过程外部对象属性和业务过程内部属性,从而可以更加全面、准确地挖掘决策点决策规则.实验结果证明,该算法能够有效挖掘业务过程决策规则,从而帮助用户更好地分析和理解实际业务过程.
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