MINING AND MODELING DECISION WORKFLOWS FROM DSS USER ACTIVITY LOGS

Petrusel Razvan

Abstract

This paper introduces the concept of decision workflows, regarded as the sequence of actions of the decision maker in decision making process. We show how, based on a decision support system we previously created, we log the behaviour of the decision maker. The log is then imported into ProM framework and mined using existent process mining algorithms. The mined model will show us the control-flow perspective (which is the order of decision maker’s actions), the organisational perspective (which is the actual relationship among decision makers in group decisions), and the case perspective (what kind of support is required by each type of decisions). The aim of our research is to automate the creation of decision making patterns. Once obtained, the workflows can be merged into a financial enterprise model, which, properly validated, can become a financial reference model.

References

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Paper Citation


in Harvard Style

Razvan P. (2009). MINING AND MODELING DECISION WORKFLOWS FROM DSS USER ACTIVITY LOGS . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8111-86-9, pages 144-149. DOI: 10.5220/0001987701440149


in Bibtex Style

@conference{iceis09,
author={Petrusel Razvan},
title={MINING AND MODELING DECISION WORKFLOWS FROM DSS USER ACTIVITY LOGS},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2009},
pages={144-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001987701440149},
isbn={978-989-8111-86-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - MINING AND MODELING DECISION WORKFLOWS FROM DSS USER ACTIVITY LOGS
SN - 978-989-8111-86-9
AU - Razvan P.
PY - 2009
SP - 144
EP - 149
DO - 10.5220/0001987701440149