{"title":"用于发现包含非自由选择的协作业务流程的改进","authors":"Gusna Ikhsan, R. Sarno, K. R. Sungkono","doi":"10.1109/APWiMob51111.2021.9435271","DOIUrl":null,"url":null,"abstract":"A business process is a series of activities or work that is structured and interrelated to solve a problem. Business Process Model Notation (BPMN) is a standard that often use to create a series of business processes. There are not only one or two processes in a business process, but many processes which cross each other. Processes which have activities related to one another are called collaborative business processes. Process mining techniques analyze a process model that is generated based on actual processes with a process model as the Standard Operational Procedure (SOP). Existing process mining techniques depict activities of each process without consider the linkages between activities in a process with another process. In addition, there is an issue that should be handled by process mining techniques, i.e. non-fee choice. This paper proposes a Modification of Alpha++ for discovering linkages of activities in collaboration business processes. Alpha++ is chosen because this algorithm can form non-free choice relationship. In the evaluation, the proposed Modification of Alpha++ will be compared with Alpha++, Inductive Miner, and Heuristic Miner. The evaluation shows the proposed Modification Alpha++ algorithm can model event log data correctly based on the proposed business process. Modification Alpha++ can find non-free choice constructs on the event log data. Modification Alpha++ gets the best calculation results for fitness, precision, and f-measure with a value of 1.","PeriodicalId":325270,"journal":{"name":"2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modification of Alpha++ for Discovering Collaboration Business Processes Containing Non-Free Choice\",\"authors\":\"Gusna Ikhsan, R. Sarno, K. R. Sungkono\",\"doi\":\"10.1109/APWiMob51111.2021.9435271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A business process is a series of activities or work that is structured and interrelated to solve a problem. Business Process Model Notation (BPMN) is a standard that often use to create a series of business processes. There are not only one or two processes in a business process, but many processes which cross each other. Processes which have activities related to one another are called collaborative business processes. Process mining techniques analyze a process model that is generated based on actual processes with a process model as the Standard Operational Procedure (SOP). Existing process mining techniques depict activities of each process without consider the linkages between activities in a process with another process. In addition, there is an issue that should be handled by process mining techniques, i.e. non-fee choice. This paper proposes a Modification of Alpha++ for discovering linkages of activities in collaboration business processes. Alpha++ is chosen because this algorithm can form non-free choice relationship. In the evaluation, the proposed Modification of Alpha++ will be compared with Alpha++, Inductive Miner, and Heuristic Miner. The evaluation shows the proposed Modification Alpha++ algorithm can model event log data correctly based on the proposed business process. Modification Alpha++ can find non-free choice constructs on the event log data. Modification Alpha++ gets the best calculation results for fitness, precision, and f-measure with a value of 1.\",\"PeriodicalId\":325270,\"journal\":{\"name\":\"2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)\",\"volume\":\"123 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWiMob51111.2021.9435271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWiMob51111.2021.9435271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modification of Alpha++ for Discovering Collaboration Business Processes Containing Non-Free Choice
A business process is a series of activities or work that is structured and interrelated to solve a problem. Business Process Model Notation (BPMN) is a standard that often use to create a series of business processes. There are not only one or two processes in a business process, but many processes which cross each other. Processes which have activities related to one another are called collaborative business processes. Process mining techniques analyze a process model that is generated based on actual processes with a process model as the Standard Operational Procedure (SOP). Existing process mining techniques depict activities of each process without consider the linkages between activities in a process with another process. In addition, there is an issue that should be handled by process mining techniques, i.e. non-fee choice. This paper proposes a Modification of Alpha++ for discovering linkages of activities in collaboration business processes. Alpha++ is chosen because this algorithm can form non-free choice relationship. In the evaluation, the proposed Modification of Alpha++ will be compared with Alpha++, Inductive Miner, and Heuristic Miner. The evaluation shows the proposed Modification Alpha++ algorithm can model event log data correctly based on the proposed business process. Modification Alpha++ can find non-free choice constructs on the event log data. Modification Alpha++ gets the best calculation results for fitness, precision, and f-measure with a value of 1.