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基于行为轮廓定义目标规则的流程建模推荐方法
引用本文:李多芹,方贤文.基于行为轮廓定义目标规则的流程建模推荐方法[J].计算机应用,2022,42(1):223-229.
作者姓名:李多芹  方贤文
作者单位:安徽理工大学 数学与大数据学院,安徽 淮南 232001
基金项目:国家自然科学基金资助项目(61402011,61572035);安徽省自然科学基金资助项目(1508085MF111,1608085QF149);安徽理工大学研究生创新基金资助项目(2019CX2068)。
摘    要:为了打破基于流程库的流程建模推荐方法中路径和图结构的限制,为建模者从流程库中提取更多有用的推荐信息,进而辅助建模者建立更高质量的业务流程模型,提出了一种基于行为轮廓定义业务目标实现规则的流程建模推荐方法。首先,通过业务陈述制定用于形式化及抽象化表达业务交互规则的目标轮廓矩阵;接着,通过其与行为轮廓矩阵集中全部行为轮廓矩阵的比对,找出流程库中所有满足目标轮廓矩阵的流程作为候选流程集;最后,通过行为轮廓度量方法计算出候选流程库中与当前建模模型相似度最高的流程,并将这些流程中当前建模节点的下一节点作为推荐节点。在真实数据集上进行实验评估了所提方法,推荐能力和推荐准确率两方面的评估表明了所提方法与独立路径匹配方法相比,能够在准确率满足实际应用需求的同时为建模者提供更多有价值的推荐信息。

关 键 词:流程建模  流程推荐  行为轮廓  流程库  业务目标  目标实现规则  
收稿时间:2020-01-15
修稿时间:2021-05-07

Process modeling recommendation method based on behavioral profile definition target rules
LI Duoqin,FANG Xianwen.Process modeling recommendation method based on behavioral profile definition target rules[J].journal of Computer Applications,2022,42(1):223-229.
Authors:LI Duoqin  FANG Xianwen
Affiliation:School of Mathematics and Big Data,Anhui University of Science and Technology,Huainan Anhui 232001,China
Abstract:In order to break the limitation of the path and graph structure in process repository based process modeling recommendation method, extract more useful recommendation information from a process repository for modelers, and assist modelers in building a business process model with higher quality, a process modeling recommendation method based on behavioral profile definition target rules was proposed. Firstly, a target profile matrix for formalizing and abstracting business interaction rules was developed through business presentation. Then, by comparing all the behavioral profile matrices in the behavioral profile matrix set with the target profile matrix, the processes in the process repository that satisfy the target profile matrix were identified as candidate process set. Finally, the process with the highest similarity to the current modeling model in the candidate process repository was calculated by the behavioral profile metric method, and the next node of the current modeling node in these processes was selected as the recommendation node. The proposed method was evaluated on a real dataset. The evaluation of both recommendation ability and recommendation accuracy shows that compared with the independent path matching method, the proposed method can provide more useful recommendation information for modelers while meeting the practical application requirements in terms of accuracy.
Keywords:process modeling  process recommendation  behavioral profile  process repository  business target  target realization rule
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