Slice and Connect: Tri-Dimensional Process Discovery with Case Study of Port Logistics Process
| Autor: | Sanghyuck Park, Bernardo Nugroho Yahya, Riska Asriana Sutrisnowati, Hyerim Bae, Iq Reviessay Pulshashi |
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| Jazyk: | angličtina |
| Předmět: |
Theoretical computer science
Dependency (UML) Computer science Context (computing) process mining Process (computing) Process mining BPMN computer.software_genre Business process discovery Business Process Model and Notation Task (computing) Dependency network port logistics multi-dimensional process model General Earth and Planetary Sciences Data mining process discovery computer General Environmental Science |
| Zdroj: | Procedia Computer Science. :461-468 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2015.12.127 |
| Popis: | One problem of process discovery is the duplicated task, a task that appears multiple times in one process model. This paper presents “Slice and Connect,” an automated tri-dimensional process discovery technique considering duplicated task. It adds the notion of pool as a group of tasks that belongs to a single entity (e.g. department, organization, country). The algorithm entails two steps: first, the event log is sliced according to the pool attribute, and then the pool dependency network (PDN) is discovered. Second, the inter-pool dependency is calculated to connect the PDNs, the result of which is a process model represented as an integrated dependency network (IDN). Duplicated task is only allowed within a different pool to clearly separate the activity context in IDN. The complexity of the process model thereby is increased; therefore, the comprehensibility of the process model is also increased. |
| Databáze: | OpenAIRE |
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