Event Cube: Another Perspective on Business Processes
Autor: | Ribeiro, J.T.S., Weijters, A.J.M.M., Meersman, R., Dillon, T., Herrero, P., Kumar, A., Reichert, M., Qing, L., Ooi, B.C., Damiani, E., Schmidt, D.C., White, J., Hauswirth, M., Hitzler, P., Mohania, M. |
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Přispěvatelé: | Information Systems IE&IS |
Rok vydání: | 2011 |
Předmět: |
Computer science
Business process Artifact-centric business process model Online analytical processing InformationSystems_DATABASEMANAGEMENT Process mining Business process modeling computer.software_genre Business process discovery Data cube Business analysis Data mining computer Computer Science::Databases |
Zdroj: | On the Move to Meaningful Internet Systems: OTM 2011 ISBN: 9783642251085 OTM Conferences (1) On the Move to Meaningful Internet Systems: OTM 2011 (Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2011, Hersonissos, Crete, Greece, October 17-21, 2011, Proceedings, Part I), 274-283 STARTPAGE=274;ENDPAGE=283;TITLE=On the Move to Meaningful Internet Systems: OTM 2011 (Confederated International Conferences: CoopIS, DOA-SVI, and ODBASE 2011, Hersonissos, Crete, Greece, October 17-21, 2011, Proceedings, Part I) |
DOI: | 10.1007/978-3-642-25109-2_18 |
Popis: | In this paper the so-called Event Cube is introduced, a multidimensional data structure that can hold information about all business dimensions. Like the data cubes of online analytic processing (OLAP) systems, the Event Cube can be used to improve the business analysis quality by providing immediate results under different levels of abstraction. An exploratory analysis of the application of process mining on multidimensional process data is the focus of this paper. The feasibility and potential of this approach is demonstrated through some practical examples. |
Databáze: | OpenAIRE |
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