Process Mining

By Wil M.P. van der Aalst. Process-Aware Information Systems, 2005

872 citations recorded by the source corpus.

Subfields: Management Information Systems, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/763539fcd9010e2fd724625e9c6b5d21781c1141

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Wil M.P. van der Aalst
2. Minseok Song
3. Hajo Alexander Reijers
4. A. Weijters
5. Wil van der Aalst
6. Antonella Guzzo
7. Luigi Pontieri
8. Gianluigi Greco

In Management of Technology and Innovation

1. A. Weijters
2. Minseok Song
3. Hajo Alexander Reijers
4. Laura Maruster
5. Gianluigi Greco
6. Antonella Guzzo
7. Luigi Pontieri
8. Domenico Saccà

Citations in the corpus

• Discovering Social Networks from Event Logs (2005, positive): “For more information on process mining we refer to a special issue of Computers in Industry on process mining (Aalst and Weijters 2004) and the survey paper (Aalst et al. 2003).”
• Discovering expressive process models by clustering log traces (2006, methodology): “Specifically, in [40], simple statistics are exploited in the construction of the ordering relations in order to cope with noise in the logs, whereas specific preprocessing and postprocessing strategies for capturing short loops are devised in [ 41 ].”
• Workflow mining: discovering process models from event logs (2004, methodology): “The main focus is on clustering and performance analysis rather than causal relations as in [7], [9], [10], [11], [19], [20], [21], [22], [23], [24], [31], [32], [33], [41], [42], [43], [44], [45], [48], [49], [50].”