Anna Kalenkova

A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics

Anna Kalenkova, Artem Polyvyanyy, Marcello La Rosa

Conference Proceedings  |  2020  |  Proceedings of the 18th International Conference on Business Process Management (BPM 2020)

A plethora of algorithms for automatically discovering process models from event logs has emerged. The discovered models are used ..

Entropia: A family of entropy-based conformance checking measures for process mining

A Polyvyanyy, H Alkhammash, C Di Ciccio, L García-Bañuelos, A Kalenkova, SJJ Leemans, J Mendling, A Moffat, M Weidlich

Conference Proceedings  |  2020  |  CEUR Workshop Proceedings

Automated Repair of Process Models Using Non-Local Constraints

Anna Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa

Conference Proceedings  |  2020  |  Proceedings of the 41st International Conference on Application and Theory of Petri Nets and Concurrency

State-of-the-art process discovery methods construct free-choice process models from event logs. Hence, the constructed models do ..

Automated Repair of Process Models Using Non-Local Constraints

Anna Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa

Conference Proceedings  |  2020  |  Proceedings of the 41st International Conference on Application and Theory of Petri Nets and Concurrency

State-of-the-art process discovery methods construct free-choice process models from event logs. Hence, the constructed models do ..

Efficient algorithms for finding differences between process models

A Skobtsov, A Kalenkova

Conference Proceedings  |  2019  |  2019 Ivannikov Ispras Open Conference (ISPRAS)

Application of a Genetic Algorithm for Finding Edit Distances between Process Models

AA Kalenkova, DA Kolesnikov

Journal article  |  2019  |  Automatic Control and Computer Sciences

Finding graph edit distances (determining the similarity of graph models) is an important task in various areas of computer scienc..

Using heuristic algorithms for fast alignment between business processes and goals

AV Skobtsov, AA Kalenkova

Conference Proceedings  |  2019  |  2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)

Discovering high-level BPMN process models from event data

Anna Kalenkova, Andrea Burattin, Massimiliano de Leoni, Wil van der Aalst, Alessandro Sperduti

Journal article  |  2019  |  Business Process Management Journal

Monotone Conformance Checking for Partially Matching Designed and Observed Processes

Artem Polyvyanyy, Anna Kalenkova

Conference Proceedings  |  2019  |  2019 INTERNATIONAL CONFERENCE ON PROCESS MINING (ICPM 2019)

Conformance checking is a subarea of process mining that studies relations between designed processes, also called process models,..

Efficient comparison of process models using Tabu search algorithm

AV Skobtsov, AA Kalenkova

Conference Proceedings  |  2019  |  Proceedings of the MACSPro Workshop 2019

Copyright © 2019 for this paper by its authors. Companies from various domains record their operational behavior in a form of even..