An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Mining approximate top-k subspace anomalies in multi-dimensional time-series data
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Graph OLAP: a multi-dimensional framework for graph data analysis
Knowledge and Information Systems
Multidimensional data modeling for business process analysis
ER'07 Proceedings of the 26th international conference on Conceptual modeling
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
The prom framework: a new era in process mining tool support
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Multidimensional process mining: a flexible analysis approach for health services research
Proceedings of the Joint EDBT/ICDT 2013 Workshops
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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.