activity
20172021
most citedClassifying Process Instances Using Recurrent Neural Networks

36 citations · 47 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DB2021

Continuous Compliance using Calculated Event Log Layers

Teemu Lehto, Johan Myrberger, Apoorva Pandey

Compliance has traditionally been a reactive activity, where directives and guidelines have been formally documented and, to a large extent, been assumed to be followed. This tradi…

cs.DB2020★ 1 cited

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…

cs.LG2019

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…

cs.LG2018★ 36 cited

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…

cs.LG2017★ 10 cited

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…