Print Email Facebook Twitter Workflow Mining: A stepwise Approach for extracting Event logs from Corporate Network Data Title Workflow Mining: A stepwise Approach for extracting Event logs from Corporate Network Data Author Demmenie, G.P. Contributor Dignum, M.V. (mentor) Van den Berg, J. (mentor) Vrancken, J.L.M. (mentor) Israƫl, M. (mentor) Faculty Technology, Policy and Management Department ICT Programme SEPAM Information Architecture Date 2011-02-17 Abstract For (forensic) auditing purposes it is useful to have a wise view of how pro- cesses are performed in an organisation. Workflow mining can help in creating such a view by mining workflow models that give a visual representation of the processes. But not all organisations use workflow management systems that produce the needed event logs that are used as input for the workflow min- ing techniques. What this research is set to accomplish is to design a stepwise approach that extracts these event logs from corporate network data that is available in any organisation To accomplish this the stepwise approach must extract caseIDs, activities and the order in which the activities occur. The fo- cus of the approach is on the process around invoices. The approach that have been designed has four steps. 1. Indexing of the Corporate Network Data 2. Mining the invoice numbers to be used as caseIDs 3. Document discovery of all the documents that are related to the invoice process. 4. Extracting the activities those documents support. The case study shows that the event logs can indeed be created and a work- flow model is mined from those event logs. Thought the validation of the quality of the mined workflow model is very difficult. The approach does look promising for extracting event logs. Subject WorkflowCorporate Network DataEvent LogsWorkflow MiningWorkflow Models To reference this document use: http://resolver.tudelft.nl/uuid:e327885c-35de-4ced-a0a9-b0ca8710a0a6 Part of collection Student theses Document type master thesis Rights (c) 2011 Demmenie, G.P. Files PDF Master_Thesis_G.P._Demmenie.pdf 817.8 KB PDF Scientific_Paper_G.P._Demmenie.pdf 787.77 KB Close viewer /islandora/object/uuid:e327885c-35de-4ced-a0a9-b0ca8710a0a6/datastream/OBJ1/view