Automatic Discovery of Object-Centric Behavioral Constraint Models

被引：35

作者：

Li, Guangming ^{[1
]}

de Carvalho, Renata Medeiros ^{[1
]}

van der Aalst, Wil M. P. ^{[1
]}

机构：

[1] Eindhoven Univ Technol, POB 513, NL-5600 MB Eindhoven, Netherlands

来源：

BUSINESS INFORMATION SYSTEMS (BIS 2017) | 2017年 / 288卷

关键词：

Process mining; Object-centric modeling; Process discovery; Cardinality constraints; ARTIFACTS;

D O I：

10.1007/978-3-319-59336-4_4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Process discovery techniques have successfully been applied in a range of domains to automatically discover process models from event data. Unfortunately existing discovery techniques only discover a behavioral perspective of processes, where the data perspective is often as a second-class citizen. Besides, these discovery techniques fail to deal with object-centric data with many-to-many relationships. Therefore, in this paper, we aim to discover a novel modeling language which combines data models with declarative models, and the resulting object-centric behavioral constraint model is able to describe processes involving interacting instances and complex data dependencies. Moreover we propose an algorithm to discover such models.

引用

页码：43 / 58

页数：16

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