Mining of Agile Business Processes
| dc.accessRights | Anonymous | |
| dc.audience | Wissenschaft | |
| dc.contributor.author | Brander, Simon | |
| dc.contributor.author | Hinkelmann, Knut | |
| dc.contributor.author | Martin, Andreas | |
| dc.contributor.author | Thönssen, Barbara | |
| dc.date.accessioned | 2015-10-05T15:42:21Z | |
| dc.date.available | 2015-10-05T15:42:21Z | |
| dc.date.issued | 2011-03-21T00:00:00Z | |
| dc.description.abstract | Organizational agility is a key challenge in today's business world. The Knowledge-Intensive Service Support approach tackles agility by combining process modeling and business rules. In the paper at hand, we present five approaches of process mining that could further increase the agility of processes by improving an existing process model. | |
| dc.event | AAAI 2011 Spring Symposium | |
| dc.event.end | 2011-03-23 | |
| dc.event.start | 2011-03-21 | |
| dc.identifier.uri | http://hdl.handle.net/11654/9617 | |
| dc.language.iso | en_UK | |
| dc.relation.ispartof | Proceedings of the AAAI 2011 Spring Symposium | |
| dc.spatial | Stanford | |
| dc.subject.ddc | 330 - Wirtschaft | |
| dc.subject.ddc | 005 - Computer Programmierung, Programme und Daten | |
| dc.title | Mining of Agile Business Processes | |
| dc.type | 04B - Beitrag Konferenzschrift | |
| dspace.entity.type | Publication | |
| fhnw.InventedHere | unbekannt | |
| fhnw.ReviewType | Anonymous ex ante peer review of an abstract | |
| fhnw.affiliation.hochschule | Hochschule für Wirtschaft | de_CH |
| fhnw.affiliation.institut | Institut für Wirtschaftsinformatik | de_CH |
| fhnw.publicationState | Veröffentlicht | |
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