- idUS
- Listar por autor
Listar por autor "Schönig, Stefan"
Mostrando ítems 1-5 de 5
-
Artículo
A framework for efficiently mining the organisational perspective of business processes
Schönig, Stefan; Cabanillas Macías, Cristina; Mendling, Jan (Elsevier, 2016)Process mining aims at discovering processes by extracting knowledge from event logs. Such knowledge may refer to different ...
-
Ponencia
Efficient and Customisable Declarative Process Mining with SQL
Schönig, Stefan; Rogge-Solti, Andreas; Cabanillas Macías, Cristina; Jablonski, Stefan; Mendling, Jan (Springer, 2016)Flexible business processes can often be modelled more easily using a declarative rather than a procedural modelling ...
-
Artículo
Mining team compositions for collaborative work in business processes
Schönig, Stefan; Cabanillas Macías, Cristina; Di Ciccio, Claudio; Jablonski, Stefan; Mendling, Jan (Springer, 2016)Process mining aims at discovering processes by extracting knowledge about their different perspectives from event logs. ...
-
Ponencia
Mining the Organisational Perspective in Agile Business Processes
Schönig, Stefan; Cabanillas Macías, Cristina; Jablonski, Stefan; Mendling, Jan (Springer, 2015)Agile processes depend on human resources, decisions and expert knowledge, and they are especially versatile and comprise ...
-
Artículo
The RALph miner for automated discovery and verification of resource-aware processmodels
Cabanillas Macías, Cristina; Ackermann, Lars; Schönig, Stefan; Sturm, Christian; Mendling, Jan (Springer, 2020)Automated process discovery is a technique that extractsmodels of executed processes from event logs. Logs typically ...