Anomaly detection in business processes using process mining and fuzzy association rule learning
Crossref DOI link: https://doi.org/10.1186/s40537-019-0277-1
Published Online: 2020-01-09
Published Print: 2020-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sarno, Riyanarto
Sinaga, Fernandes
Sungkono, Kelly Rossa
Text and Data Mining valid from 2020-01-09
Version of Record valid from 2020-01-09
Article History
Received: 11 October 2019
Accepted: 23 December 2019
First Online: 9 January 2020
Competing interests
: The authors declare that they have no competing interests.