Automatic conversion of event data to event logs using cnn and event density embedding

S Sim, RA Sutrisnowati, S Won, S Lee, H Bae - IEEE Access, 2022 - ieeexplore.ieee.org
In process mining, converting event data to event logs is related to the quality of analysis
results. In general, to convert event data into event logs, it is necessary to identify process …

[HTML][HTML] A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry

F Akhavan, E Hassannayebi - Decision Analytics Journal, 2024 - Elsevier
It is essential to innovate and improve service levels by predicting possible process
outcomes due to the growth of online service providers. This study estimates the customer …

A survey of process mining competitions: the BPI challenges 2011–2018

IF Lopes, DR Ferreira - … Workshops, Vienna, Austria, September 1–6 …, 2019 - Springer
In recent years, several advances in the field of process mining, and even data science in
general, have come from competitions where participants are asked to analyze a given …

[PDF][PDF] Analysis Study for Rabobank Group ICT Incident by using Fuzzy and Heuristic Miner in Process Mining.

R Andreswari, F Millenia, J Rizky, S Haniyah… - Iraqi Journal for Electrical …, 2023 - iasj.net
The decline in the marketing volume of Rabobank Group ICT is a serious incident as it can
hinder the implementation of an increasing number of software releases for business …

Log sequence clustering for workflow mining in multi-workflow systems

X Liu, M Alshangiti, C Ding, Q Yu - Data & Knowledge Engineering, 2018 - Elsevier
Current workflow mining efforts aim to discover process knowledge from user-system
interaction logs and represent it as high-level workflow models. They assume there is one …

Ret-DNN: Predictive Analytics in Retail-Enhanced Deep Learning Models for Customer Behavior Analysis

R Al Mamun Rudro, H Uddin… - International Journal of …, 2024 - journal.uob.edu.bh
In the competitive landscape of retail e-commerce, understanding and predicting customer
behaviour is challenging for business success. This study introduces the Retail Deep Neural …

Usability Mining: Automated Analysis of Information System Usability Based on Process Mining

S Dadashnia, C Houy, P Loos - Design Science Research. Cases, 2020 - Springer
The usability of information systems (IS) is a key characteristic in the context of software
selection and IS design. IS are supposed to support various functions in business …

Analysing the Impact of Changes in User Interface of e-Health Record Systems on Clinical Pathways using Process Mining

AP Kurniati - 2019 - etheses.whiterose.ac.uk
The provision of care in a hospital includes a series of activities that are often recorded in the
electronic health record (EHR) systems. Analysing the data in these EHRs has the potential …

[PDF][PDF] Mobile Verkehrsunfallerfassung bei der Polizei im Saarland–Zur wissenschaftlichen Begleitforschung des Proof-of-Concept-Projektes VU-App

S Dadashnia, C Houy, P Loos - 2017 - uni-saarland.de
3. Da die Erfassung des genauen Unfallortes über die Straßenstationierung in einigen
Fällen recht aufwendig sein kann, wäre es sinnvoll, diesen Vorgang dahingehend zu …

[PDF][PDF] Evaluation of a Real-Time Usability Improvement Framework for Business Information Systems

S Dadashnia, Y Konrad, P Fettke, P Loos - HPI Future SOC Lab … - researchgate.net
Workflow improvement nowadays plays an important role in the selection process of
business information systems. Especially in the context of user-centric development, the …