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Utility-Based Control Flow Discovery from Business Process Event Logs.

, , and . BDA, volume 9498 of Lecture Notes in Computer Science, page 69-83. Springer, (2015)

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Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation., , , , , , , , , and . CASE, page 1392-1398. IEEE, (2022)Domain-independent method of detecting inconsistencies in SBVR-based business rules., and . ForMABS@ASE, page 9-16. ACM, (2016)Identifying Anomalies in SBVR-based Business Rules using Directed Graphs and SMT-LIBv2., , and . ICEIS (2), page 215-222. SciTePress, (2018)BuRRiTo: A Framework to Extract, Specify, Verify and Analyze Business Rules., , , , , , and . ASE, page 1190-1193. IEEE, (2019)Utility-Based Control Flow Discovery from Business Process Event Logs., , and . BDA, volume 9498 of Lecture Notes in Computer Science, page 69-83. Springer, (2015)Pariket: Mining Business Process Logs for Root Cause Analysis of Anomalous Incidents., , and . DNIS, volume 8999 of Lecture Notes in Computer Science, page 244-263. Springer, (2015)Semantic Search and Query Over SBVR-based Business Rules using SMT based Approach and Information Retrieval Method., , and . ENASE, page 47-58. SciTePress, (2019)An Automated Detection of Inconsistencies in SBVR-based Business Rules Using Many-sorted Logic., , and . PADL, volume 10702 of Lecture Notes in Computer Science, page 80-96. Springer, (2018)