36 citations · 47 across the 3 of their papers we have counts for
4 papers
Discovering Business Area Effects to Process Mining Analysis Using Clustering and Influence Analysis
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 executi…
Exploiting Event Log Event Attributes in RNN Based Prediction
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 stil…
Classifying Process Instances Using Recurrent Neural Networks
Markku Hinkka, Teemu Lehto, Keijo Heljanko +1
Process Mining consists of techniques where logs created by operative systems are transformed into process models. In process mining tools it is often desired to be able to classif…
Structural Feature Selection for Event Logs
Markku Hinkka, Teemu Lehto, Keijo Heljanko +1
We consider the problem of classifying business process instances based on structural features derived from event logs. The main motivation is to provide machine learning based tec…