Classifying Process Instances Using Recurrent Neural Networks

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • QPR Software Plc

Kuvaus

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 classify ongoing process instances, e.g., to predict how long the process will still require to complete, or to classify process instances to different classes based only on the activities that have occurred in the process instance thus far. 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. In this paper we apply recurrent neural networks to classifying process instances. The proposed model is trained in a supervised fashion using labeled process instances extracted from event log traces. This is the first time we know of GRU having been used in classifying business process instances. Our main experimental results shows that GRU outperforms LSTM remarkably in training time while giving almost identical accuracies to LSTM models. Additional contributions of our paper are improving the classification model training time by filtering infrequent activities, which is a technique commonly used, e.g., in Natural Language Processing (NLP).

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoBusiness Process Management Workshops - BPM 2018 International Workshops, Revised Papers
ToimittajatFlorian Daniel, Quan Z. Sheng, Hamid Motahari
TilaJulkaistu - 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Business Process Management - Sydney, Austraalia
Kesto: 9 syyskuuta 201814 syyskuuta 2018
Konferenssinumero: 16

Julkaisusarja

NimiLecture Notes in Business Information Processing
KustantajaSpringer
Vuosikerta342
ISSN (painettu)1865-1348
ISSN (elektroninen)1865-1356

Workshop

WorkshopInternational Conference on Business Process Management
LyhennettäBPM
MaaAustraalia
KaupunkiSydney
Ajanjakso09/09/201814/09/2018

ID: 31028798