Yang et al., 2020 - Google Patents
Analysing business process anomalies using discrete-time markov chainsYang et al., 2020
View PDF- Document ID
- 7111453509967375329
- Author
- Yang L
- McClean S
- Donnelly M
- Khan K
- Burke K
- Publication year
- Publication venue
- 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
External Links
Snippet
Within a business context, anomalies can be viewed as indicators for inefficiencies or fraud, which impact upon product quality and customer satisfaction. The development of approaches to monitor, detect and predict anomalous business processes remains an …
- 238000000034 method 0 title abstract description 96
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