Corpus ID: 114711181

Process Mining: Data Science in Action

@inproceedings{Aalst2016ProcessMD,
  title={Process Mining: Data Science in Action},
  author={W. Aalst},
  year={2016}
}
This is the second edition of Wil van der Aalsts seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process… Expand
A Tour in Process Mining: From Practice to Algorithmic Challenges
A Case Study on the Business Benefits of Automated Process Discovery
Recurrent Process Mining on Procedural and Declarative Approaches
Towards Goal-Oriented Process Mining
  • Mahdi Ghasemi
  • Computer Science
  • 2018 IEEE 26th International Requirements Engineering Conference (RE)
  • 2018
Process discovery from event data: Relating models and logs through abstractions
  • W. Aalst
  • Computer Science
  • Wiley Interdiscip. Rev. Data Min. Knowl. Discov.
  • 2018
Process mining with streaming data
...
1
2
3
4
5
...

References

SHOWING 1-5 OF 5 REFERENCES