Getting the Data in Shape for Your Process Mining Analysis: An In-Depth Analysis of the Pre-Analysis Stage

SK Pradhan, M Jans, N Martin - ACM Computing Surveys, 2025 - dl.acm.org
Process mining enables organizations to analyze the data stored in their information
systems and derive insights regarding their business processes. However, raw data needs …

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 …

Comparative evaluation of VAE-based monitoring statistics for real-time anomaly detection in AIS data

YK Oh, K Yoon, J Park, S Kim - Maritime Policy & Management, 2024 - Taylor & Francis
Real-time tracking and anomaly detection in vessel navigation using AIS (Automatic
Identification System) data is a critical issue in maritime logistics. However, the substantial …

[PDF][PDF] Designing a Conversation Mining System for Customer Service Chatbots.

D Schloß, JDG Espitia, U Gnewuch - ECIS, 2023 - researchgate.net
As chatbots are gaining popularity in customer service, it is critically important for companies
to continuously analyze and improve their chatbots' performance. However, current analysis …

Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning

S Sim, L Liu, H Bae - arXiv preprint arXiv:2211.16687, 2022 - arxiv.org
Process mining is a methodology for the derivation and analysis of process models based
on the event log. When process mining is employed to analyze business processes, the …

Log Clustering-based Method for Repairing Missing Traces with Context Probability Information.

H Fang, W Su - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
In real business processes, low quality event logs due to outliers and missing values tend to
degrade the performance of process mining related algorithms, which in turn affects the …