Abstract
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.
Original language | English |
---|---|
Title of host publication | 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) |
Editors | R. Meersman, T. Dillon, P. Herrero, A. Kumar, M. Reichert, L. Qing, B.C. Ooi, E. Damiani, D.C. Schmidt, J. White, M. Hauswirth, P. Hitzler, M. Mohania |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 274-283 |
ISBN (Print) | 978-3-642-25108-5 |
DOIs | |
Publication status | Published - 2011 |
Event | 19th International Conference on Cooperative Information Systems, CoopIS 2011 - Crete, Greece Duration: 19 Oct 2011 → 21 Oct 2011 Conference number: 19 |
Publication series
Name | Lecture Notes in Computer Science |
---|---|
Volume | 7044 |
Conference
Conference | 19th International Conference on Cooperative Information Systems, CoopIS 2011 |
---|---|
Abbreviated title | CoopIS 2011 |
Country/Territory | Greece |
City | Crete |
Period | 19/10/11 → 21/10/11 |