Guided Interaction Exploration in Artifact-centric Process Models

Autor:	van Eck, Maikel L., Sidorova, Natalia, van der Aalst, Wil M. P.
Rok vydání:	2017
Předmět:	Computer Science - Databases Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	Artifact-centric process models aim to describe complex processes as a collection of interacting artifacts. Recent development in process mining allow for the discovery of such models. However, the focus is often on the representation of the individual artifacts rather than their interactions. Based on event data we can automatically discover composite state machines representing artifact-centric processes. Moreover, we provide ways of visualizing and quantifying interactions among different artifacts. For example, we are able to highlight strongly correlated behaviours in different artifacts. The approach has been fully implemented as a ProM plug-in; the CSM Miner provides an interactive artifact-centric process discovery tool focussing on interactions. The approach has been evaluated using real life data sets, including the personal loan and overdraft process of a Dutch financial institution. Comment: 10 pages, 4 figures, to be published in proceedings of the 19th IEEE Conference on Business Informatics, CBI 2017
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1706.02109 Zobrazit plný text záznamu View this record from Arxiv