Intelligent monitoring of business processes using case-based reasoning

摘要: The work in this thesis presents an approach towards the effective monitoring of business processes using Case-Based Reasoning (CBR). rationale behind research was that constitute a fundamental concept modern world and there is constantly emerging need for their efficient control. They can be efficiently represented but not necessarily monitored diagnosed effectively via appropriate platform. Motivated by above observation pursued to which extent monitoring, diagnosis explanation workflows. Workflows representation terms CBR were investigated as well how similarity measures among them could established appropriately. results following users questioned should software architecture allow workflow executions. Throughout progress research, several sets experiments have been conducted existing enterprise systems are coordinated predefined process. Past data produced over years used needs experiments. Based on those necessary knowledge repositories built afterwards order evaluate suggesting processes. The show process effectively. also provide hints possible changes would maximize accuracy actual explanation. Moreover presented generalised expanded further common characteristics presence uncertainty. Further motivated investigate acquisition transferred benefit large-scale multidimensional enterprises. Additionally temporal uncertainty further, attempt address it while reasoning. Finally provenance cases solutions explored identifying correlations with