{"title":"数据聚合对过程挖掘结果显著性的影响:一个实验评价","authors":"Kerstin Gerke","doi":"10.1109/WETICE.2008.25","DOIUrl":null,"url":null,"abstract":"Today, many enterprises seek for efficient business process coordination and control to raise business process quality. Process mining technologies promise significant potentials in making business process knowledge explicit. However, it appears to be important to distinguish homogeneous process structures within a business process model to manage them accordingly. In this paper we present an experimental result of the classification of business processes according to their complexity. Furthermore, we evaluate if the homogeneity of the business processes correspond to the business process models derived with process mining.","PeriodicalId":259447,"journal":{"name":"2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Impact of Data Aggregation on the Significance of Process Mining Results: An Experimental Evaluation\",\"authors\":\"Kerstin Gerke\",\"doi\":\"10.1109/WETICE.2008.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, many enterprises seek for efficient business process coordination and control to raise business process quality. Process mining technologies promise significant potentials in making business process knowledge explicit. However, it appears to be important to distinguish homogeneous process structures within a business process model to manage them accordingly. In this paper we present an experimental result of the classification of business processes according to their complexity. Furthermore, we evaluate if the homogeneity of the business processes correspond to the business process models derived with process mining.\",\"PeriodicalId\":259447,\"journal\":{\"name\":\"2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WETICE.2008.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WETICE.2008.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of Data Aggregation on the Significance of Process Mining Results: An Experimental Evaluation
Today, many enterprises seek for efficient business process coordination and control to raise business process quality. Process mining technologies promise significant potentials in making business process knowledge explicit. However, it appears to be important to distinguish homogeneous process structures within a business process model to manage them accordingly. In this paper we present an experimental result of the classification of business processes according to their complexity. Furthermore, we evaluate if the homogeneity of the business processes correspond to the business process models derived with process mining.