Flexible Heuristics Miner (FHM)

By A. Weijters, Joel Tiago S. Ribeiro. IEEE Symposium on Computational Intelligence and Data Mining, 2011

500 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/5965a7d2f6349c40bcdb730082d0b327965aa1c1

How researchers see this paper

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

In Artificial Intelligence

1. Peter Fettke
2. Wil van der Aalst
3. Jana-Rebecca Rehse
4. Joerg Evermann

In Information Systems

1. Peter Fettke
2. Wil van der Aalst
3. Jana-Rebecca Rehse
4. Joerg Evermann

In Management Information Systems

1. Peter Fettke
2. Wil van der Aalst
3. Jana-Rebecca Rehse
4. Joerg Evermann
5. Marko Sarstedt
6. Christian M. Ringle
7. Mikko Rönkkö

Citations in the corpus

• Predicting process behaviour using deep learning (2016, methodology): “In addition to visually inspecting the generated hallucinations and judging their realism, we mine a process model from the original event log using the Flexible Heuristics Miner (Weijters and Ribeiro, 2011) with default parameters.”
• Process Mining (2016, background): “mance checking approaches use a similar representation [4, 12, 66, 183, 184].”