Activity and Sequence Detection Evaluation Metrics: A Comprehensive Tool for Event Log Comparison
Journal
BPM 2024 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum
Type
conference contribution
Date Issued
2024-09
Author(s)
Abstract
Nowadays, event logs are not only created by traditional information systems, but also new data sources such as the IoT are considered to derive and construct event logs. This makes it necessary to evaluate the quality of these detected event logs and their underlying detection methods by comparison with given ground truth logs. We present AquDeM, enabling the comparison of XES-based event logs to evaluate activity and sequence detection methods. AquDeM features 1) a Python library that allows for programmatic comparison of event logs featuring a comprehensive set of metrics, and 2) a web app for visual event log comparison.
Language
English (United States)
Keywords
Business Process Management
Internet of Things
Activity Recognition
Activity Detection
Sequence Detection
Event Log Comparison
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
ceur-ws.org
Pages
5
Event Title
22nd International Conference on Business Process Management (BPM 2024)
Event Location
Krakow, Poland
Event Date
September 1-6, 2024
Official URL
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
paper-13.pdf
Size
468.75 KB
Format
Adobe PDF
Checksum (MD5)
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