Formulating the potentials of clustering of event data over multiple entities for decision support: a network embeddings approach

P Delias, D Grigori - Journal of Decision Systems, 2024 - Taylor & Francis
Event data from business processes evidence their patterns, behaviors, and dysfunctions.
Analytics techniques like clustering and sorting can reveal relevant insights, when data are …

Quantifying Conformance Between Object-Centric Event Logs and Models

B Xiu, G Li - IEEE Access, 2024 - ieeexplore.ieee.org
Conformance checking techniques can reveal commonalities and discrepancies between
the observed behavior and the modeled behavior, by relating and comparing events in the …

Object-Centric Process Mining: Latest State-of-Art Research Direction

K Rezaie, A Solhjoo - The International Symposium for Production …, 2023 - Springer
Process mining is one of the areas of knowledge in which systematic use of event log is
trying to improve operational processes. Object-centric process mining is a concept …

Model-Based Testing Approach for Financial Technology Platforms: An Industrial Implementation

L Konnova, I Scherbinin, V Okhlopkov… - … Conference on Software …, 2021 - Springer
This paper looks at the industrial experience of using automated model-based approach for
the black-box testing of trading systems. The approach, used by Exactpro, is described using …

КЛАССИФИКАЦИЯ ВАРИАНТОВ ПРОЦЕССА С ПОМОЩЬЮ АЛГОРИТМА ВЫРАВНИВАНИЯ

СС КОНДРАШКИН, АГ ДМИТРИЕВ - ПРОБЛЕМЫ ТЕОРИИ И ПРАКТИКИ … - elibrary.ru
Актуальность. В статье рассматривается проблема проверки соответствия журнала
событий системы и модели бизнес-процесса, полученной с помощью различных …

Searching for Deviations in Trading Systems: Combining Control-Flow and Data Perspectives

JC Carrasquel, IA Lomazova - … on Software Testing, Machine Learning and …, 2021 - Springer
Trading systems are software platforms that support the exchange of securities (eg,
company shares) between participants. In this paper, we present a method to search for …

[HTML][HTML] Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms

J Papathanasiou, MP Belioka… - Proceedings of the …, 2022 - books.google.com
The diffusion of smart sensor technology in production enables real-time monitoring of
production conditions. Machine self-diagnosis shall serve the analysis of these conditions by …

[引用][C] Trace Clustering for Object-centric Event Logs. An Embedding-based approach