Abstract
A set of concepts and architectures that lay the foundation for providing users with intelligent analysis and predictions about business process executions is presented. The tools are able to provide users with information about why the quality of a process execution is low, what will be the outcome of a certain process, or how many processes will be started in future. The information is crucial to gain visibility into the process, understand or foresee problems and areas of optimization, and quickly identify solutions. Intelligent analysis and predictions are achieved by applying data mining techniques to process execution data.
| Original language | English |
|---|---|
| Pages (from-to) | 239-273 |
| Number of pages | 35 |
| Journal | Distributed and Parallel Databases |
| Volume | 16 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Nov 2004 |
| Externally published | Yes |
Keywords
- Business process
- Business process intelligence
- Metrics
- Prediction
- Process analysis
- Star schema
ASJC Scopus subject areas
- Software
- Information Systems
- Hardware and Architecture
- Information Systems and Management
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Cite this
Castellanos, M., Casati, F., Dayal, U., & Shan, M. C. (2004). A comprehensive and automated approach to intelligent business processes execution analysis. Distributed and Parallel Databases, 16(3), 239-273. https://doi.org/10.1023/B:DAPD.0000031635.88567.65