1 code implementation • 2 Oct 2020 • An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern Eskofier
To better model the time dependencies between events, we propose a new PBPM technique based on time-aware LSTM (T-LSTM) cells.
1 code implementation • 19 Aug 2020 • Sven Weinzierl, Sebastian Dunzer, Sandra Zilker, Martin Matzner
We present a PrBPM technique that transforms the next most likely activities into the next best actions regarding a given KPI.
1 code implementation • 18 Aug 2020 • Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
PBPM techniques aim to improve process performance by providing predictions to process analysts, supporting them in their decision making.
1 code implementation • 7 Aug 2020 • Matthias Stierle, Sven Weinzierl, Maximilian Harl, Martin Matzner
Through annotations with metrics such as the frequency or duration of activities, these models provide generic information to the process analyst.
no code implementations • 21 Jul 2020 • Sebastian Dunzer, Matthias Stierle, Martin Matzner, Stephan Baier
Conformance checking is a set of process mining functions that compare process instances with a given process model.
no code implementations • 15 Jul 2020 • Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker
Predicting undesirable events during the execution of a business process instance provides the process participants with an opportunity to intervene and keep the process aligned with its goals.