Titlebook: Data-Driven Process Discovery and Analysis; 8th IFIP WG 2.6 Inte Paolo Ceravolo,Maurice van Keulen,María Teresa Góm Conference proceedings

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Representing Equal Groups (EG) Problemshe basis of event data. These techniques encompass automatically discovering process models, detecting and predicting bottlenecks, and finding process deviations. In process mining, event data containing the full breadth of resource information allows for performance analysis and discovering social

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Lecture Notes in Business Information Processinghttp://image.papertrans.cn/d/image/263317.jpg

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Paolo Ceravolo,Maurice van Keulen,María Teresa Góm

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Extracting Multiple Viewpoint Models from Relational Databases,used for each viewpoint without the need for new data extractions and transformations. We provide a toolchain allowing for the discovery of MVP models (annotated with performance and frequency information) from relational databases. Moreover, we demonstrate that classical process mining techniques c