TY  - JOUR
A1  - Baier, Thomas
A1  - Mendling, Jan
A1  - Weske, Mathias
T1  - Bridging abstraction layers in process mining
T2  - Information systems
N2  - While the maturity of process mining algorithms increases and more process mining tools enter the market, process mining projects still face the problem of different levels of abstraction when comparing events with modeled business activities. Current approaches for event log abstraction try to abstract from the events in an automated way that does not capture the required domain knowledge to fit business activities. This can lead to misinterpretation of discovered process models. We developed an approach that aims to abstract an event log to the same abstraction level that is needed by the business. We use domain knowledge extracted from existing process documentation to semi-automatically match events and activities. Our abstraction approach is able to deal with n:m relations between events and activities and also supports concurrency. We evaluated our approach in two case studies with a German IT outsourcing company. (C) 2014 Elsevier Ltd. All rights reserved.
KW  - Process mining
KW  - Abstraction
KW  - Event mapping
Y1  - 2014
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/37378
SN  - 0306-4379
SN  - 1873-6076
VL  - 46
SP  - 123
EP  - 139
PB  - Elsevier
CY  - Oxford
ER  -