An overview of data warehousing and OLAP technology
ACM SIGMOD Record
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Multidimensional Database Technology
Computer
Business Process Coordination: State of the Art, Trends, and Open Issues
Proceedings of the 27th International Conference on Very Large Data Bases
Multidimensional data modeling for location-based services
The VLDB Journal — The International Journal on Very Large Data Bases
Computers in Industry - Special issue: Process/workflow mining
Business process impact visualization and anomaly detection
Information Visualization
Hierarchies in a multidimensional model: from conceptual modeling to logical representation
Data & Knowledge Engineering - Special issue: WIDM 2004
Extending visual OLAP for handling irregular dimensional hierarchies
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Acquisition of process descriptions from surgical interventions
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Analyses of Knowledge Creation Processes Based on Different Types of Monitored Data
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
A model for analyzing and visualizing tabular data
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
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The emerging area of business process intelligence aims at enhancing the analysis power of business process management systems by employing data warehousing and mining technologies. However, the differences in the underlying assumptions and objectives of the business process model and the multidimensional data model aggravate a straightforward solution for a meaningful convergence of the two concepts. This paper presents the results of an ongoing project on providing OLAP support to business process analysis in the innovative application domain of Surgical Process Modeling. We describe the deficiencies of the conventional OLAP technology with respect to business process modeling and formulate the requirements for an adequate multidimensional presentation of process descriptions. The modeling extensions proposed at the conceptual level are verified by implementing them in a relational OLAP system, accessible via a state-of-the-art visual analysis tool. We demonstrate the benefits of the proposed analysis framework by presenting relevant analysis tasks from the domain of medical engineering and showing the type of the decision support provided by our solution.