Adapting Association Rule Mining to Discover Patterns of Collaboration in Process Logs

Schönig, Stefan and Zeising, Michael and Jablonski, Stefan (2012) Adapting Association Rule Mining to Discover Patterns of Collaboration in Process Logs. In: 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing.

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Abstract

The execution order of work steps within business processes is influenced by several factors, like the organizational position of performing agents, document flows or temporal dependencies. Lately, process mining techniques are more and more successfully used to discover execution orders from proces

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 09:59
Last Modified: 17 Apr 2026 21:15
URI: http://eprints.eai.eu/id/eprint/9958

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