no code implementations • 18 Mar 2020 • Teemu Lehto, Markku Hinkka
A common challenge for improving business processes in large organizations is that business people in charge of the operations are lacking a fact-based understanding of the execution details, process variants, and exceptions taking place in business operations.
no code implementations • 15 Apr 2019 • Markku Hinkka, Teemu Lehto, Keijo Heljanko
In predictive process analytics, current and historical process data in event logs is used to predict the future, e. g., to predict the next activity or how long a process will still require to complete.
no code implementations • 16 Sep 2018 • Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung
Recurrent neural networks and its subclasses, such as Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM), have been demonstrated to be able to learn relevant temporal features for subsequent classification tasks.
no code implementations • 8 Oct 2017 • Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung
The main motivation is to provide machine learning based techniques with quick response times for interactive computer assisted root cause analysis.