DOES YOUR EVENT LOG FIT THE HIGH-LEVEL PROCESS MODEL?

Process mining is a relatively new field of computer science, which deals with process discovery and analysis based on event logs. In this paper we consider the problem of models and event logs conformance checking. Conformance checking is intensively studied in the frame of process mining research,...

Full description

Bibliographic Details
Published in:	Моделирование и анализ информационных систем
Main Authors:	A. K. Begicheva, I. A. Lomazova
Format:	Article
Language:	English
Published:	Yaroslavl State University 2015-06-01
Subjects:	petri nets high-level process models event logs process mining conformance checking
Online Access:	https://www.mais-journal.ru/jour/article/view/258

Similar Items

Discovering High-Level Process Models from Event Logs
by: Antonina A. Begicheva, et al.
Published: (2017-04-01)

Discovering hierarchical process models: an approach based on events partitioning
by: Antonina K. Begicheva, et al.
Published: (2024-09-01)

On Process Model Synthesis Based on Event Logs with Noise
by: A. A. Mitsyuk, et al.
Published: (2014-08-01)

Object-Centric Replay-Based Conformance Checking: Unveiling Desire Lines and Local Deviations
by: Julio C Carrasquel, et al.
Published: (2021-06-01)

An Alpha-FL Algorithm for Discovering Free Loop Structures From Incomplete Event Logs
by: Zhaoyang He, et al.
Published: (2018-01-01)

ProcessM: Intelligent Process Mining software
by: Tomasz P. Pawlak, et al.
Published: (2025-05-01)

Conformance Checking of a Longwall Shearer Operation Based on Low-Level Events
by: Marcin Szpyrka, et al.
Published: (2020-12-01)

Using Event Logs for Local Correction of Process Models
by: Alexey A. Mitsyuk, et al.
Published: (2017-08-01)

Behavioral and Performance Analysis of a Real-Time Case Study Event Log: A Process Mining Approach
by: Naveed Anwer Butt, et al.
Published: (2023-03-01)

Video Process Mining and Model Matching for Intelligent Development: Conformance Checking
by: Shuang Chen, et al.
Published: (2023-04-01)

A novel trace-based sampling method for conformance checking
by: Heidy M. Marin-Castro, et al.
Published: (2024-12-01)

Analysis of Students’ Academic Performance using LMS Event Logs
by: Nikita D. Shaimov, et al.
Published: (2022-12-01)

Reconstructing invisible deviating events: A conformance checking approach for recurring events
by: Joscha Grüger, et al.
Published: (2022-08-01)

Identifikasi Bottleneck pada Hasil Ekstraksi Proses Bisnis ERP dengan Membandingkan Algoritma Alpha++ dan Heuristics Miner
by: Laeila Mardhatillah, et al.
Published: (2012-09-01)

An Approach for Repairing Process Models Based on Logic Petri Nets
by: Xize Zhang, et al.
Published: (2018-01-01)

Quantifying Conformance Between Object-Centric Event Logs and Models
by: Baoxin Xiu, et al.
Published: (2024-01-01)

Analysis of a Logistics Process Based on the Event Log
by: Aneta Napieraj, et al.
Published: (2025-08-01)

Diagnosing Conformance Between Object-Centric Event Logs and Models
by: Baoxin Xiu, et al.
Published: (2023-01-01)

A Process Tree-Based Incomplete Event Log Repair Approach
by: Qiushi Wang, et al.
Published: (2025-05-01)

Improving the Quality of Business Process Event Logs Using Unsupervised Method
by: Mohsen Mohammadi
Published: (2025-02-01)

Reliable Process Tracking Under Incomplete Event Logs Using Timed Genetic-Inductive Process Mining
by: Yutika Amelia Effendi, et al.
Published: (2025-03-01)

Semi-Automated Approach for Building Event Logs for Process Mining from Relational Database
by: Jaciel David Hernandez-Resendiz, et al.
Published: (2022-10-01)

Automatic Conversion of Event Data to Event Logs Using CNN and Event Density Embedding
by: Sunghyun Sim, et al.
Published: (2022-01-01)

A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining
by: Qifan Chen, et al.
Published: (2022-06-01)

Process Query Language: A Domain-Specific Language for Querying Event Logs of Business Processes
by: Pawlak Tomasz P., et al.
Published: (2025-06-01)

Translating Workflow Nets to Process Trees: An Algorithmic Approach
by: Sebastiaan J. van Zelst, et al.
Published: (2020-11-01)

Enhancement in Process Mining Model by Repairing Noisy Behavior in Event Log
by: Shabnam Shahzadi, et al.
Published: (2024-01-01)

Event Log Preprocessing for Process Mining: A Review
by: Heidy M. Marin-Castro, et al.
Published: (2021-11-01)

Pre-Processing Event Logs by Chaotic Filtering Approaches Based on the Direct Following Relationship
by: Tengzi Lv, et al.
Published: (2024-08-01)

A Conceptual Framework for Preprocessing and Improving Quality of Event Log in Process Mining
by: Ahmad Salehi, et al.
Published: (2023-03-01)

Iskra: A Tool for Process Model Repair
by: I. Shugurov, et al.
Published: (2018-10-01)

Comparing Conformance Checking for Decision Mining: An Axiomatic Approach
by: Adam Banham, et al.
Published: (2024-01-01)

Conformance Checking Method of Business Processes Based on Improved BERT and Lightweight CNN
by: TIAN Yinhua, YANG Lifei, HAN Dong, DU Yuyue
Published: (2025-07-01)

A Deep Learning Approach for Repairing Missing Activity Labels in Event Logs for Process Mining
by: Yang Lu, et al.
Published: (2022-05-01)

Event Log Data Quality Issues and Solutions
by: Dusanka Dakic, et al.
Published: (2023-06-01)

Performance Analysis: Discovering Semi-Markov Models From Event Logs
by: Anna Kalenkova, et al.
Published: (2025-01-01)

A method of restoring models in embedded systems using the event log
by: A.A. Goncharov, et al.
Published: (2023-12-01)

CPN Tools-Assisted Simulation and Verification of Nested Petri Nets
by: L. W. Dworza´nski, et al.
Published: (2015-03-01)

Quality Metrics for Business Process Event Logs Based on High Frequency Traces
by: Mohsen Mohammadi
Published: (2025-02-01)

Process mining embeddings: Learning vector representations for Petri nets
by: Juan G. Colonna, et al.
Published: (2024-09-01)