Anomaly detection in business processes using process mining and fuzzy association rule learning
R Sarno, F Sinaga, KR Sungkono - Journal of Big Data, 2020 - Springer
Much corporate organization nowadays implement enterprise resource planning (ERP) to
manage their business processes. Because the processes run continuously, ERP produces …
manage their business processes. Because the processes run continuously, ERP produces …
Improving efficiency for discovering business processes containing invisible tasks in non-free choice
R Sarno, KR Sungkono, M Taufiqulsa'di… - Journal of Big Data, 2021 - Springer
Process discovery helps companies automatically discover their existing business
processes based on the vast, stored event log. The process discovery algorithms have been …
processes based on the vast, stored event log. The process discovery algorithms have been …
Incrementally predictive runtime verification
A Ferrando, G Delzanno - Journal of Logic and Computation, 2023 - academic.oup.com
Runtime verification is a lightweight formal verification technique used to verify the runtime
behaviour of software (resp. hardware) systems. Given a formal property, one or more …
behaviour of software (resp. hardware) systems. Given a formal property, one or more …
Extending Graph-based Process Discovery for Hierarchical Block Detection and Incomplete Concurrent Relationship Handling
The flow of business process activities in an organization can run simply in the form of
sequential or complex in the form of choice and parallel. In the discovery process, parallel …
sequential or complex in the form of choice and parallel. In the discovery process, parallel …
Graph-based token replay for online conformance checking
Conformance checking detects deviations in business process executions. An online
detection method is needed to give immediate response to anticipate possible impacts. The …
detection method is needed to give immediate response to anticipate possible impacts. The …
[PDF][PDF] An improved method of parallel model detection for graph-based process model discovery
The existing method of graph-based process model discovery has weaknesses in detecting
parallel relationship (XOR, AND, and OR). The algorithm only works on a particular graph …
parallel relationship (XOR, AND, and OR). The algorithm only works on a particular graph …
Graph-based process discovery containing invisible non-prime task in procurement of animal-based ingredient of halal restaurants
A process model based on animal-based ingredients' running procurement will help halal
level examiners check halal implementation based on Halal Critical Control Points (HCCP) …
level examiners check halal implementation based on Halal Critical Control Points (HCCP) …
Improving Parallel Pattern Discovery from Directly Follows Graph Model
Process model discovery is an important part of process mining. State-of-the-art algorithms
still have trouble detecting long parallel patterns with incomplete concurrency patterns. This …
still have trouble detecting long parallel patterns with incomplete concurrency patterns. This …
Business process models complexity growth analysis based on scheduling generated by timetabling of courses
Business process models can represent course schedules. Every business process model
has complexity. The greater the number of courses and the number of study groups, the …
has complexity. The greater the number of courses and the number of study groups, the …
[PDF][PDF] Non-Relational Approach to Developing Knowledge Bases of Expert System Prototype
VV Hnatushenko, VV Hnatushenko… - Natsional'nyi Hirnychyi …, 2022 - nvngu.in.ua
Purpose. Use of a non-relational database management system is proposed while
developing a database of a prototype of expert system with using a semantic model of the …
developing a database of a prototype of expert system with using a semantic model of the …