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Anna A. Kalenkova
Person information
- affiliation: University of Adelaide, Australia
- affiliation (former): University of Melbourne, Parkville, Australia
- unicode name: А.А. Каленкова
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2020 – today
- 2023
- [c19]Andrei Tour, Artem Polyvyanyy, Anna A. Kalenkova, Arik Senderovich:
Agent Miner: An Algorithm for Discovering Agent Systems from Event Data. BPM 2023: 284-302 - 2022
- [j11]Artem Polyvyanyy, Anna A. Kalenkova:
Conformance checking of partially matching processes: An entropy-based approach. Inf. Syst. 106: 101720 (2022) - [e2]Mieke Jans, Gert Janssenswillen, Anna A. Kalenkova, Fabrizio Maria Maggi:
Proceedings of the ICPM Doctoral Consortium and Demo Track 2021 co-located with 3rd International Conference on Process Mining, ICPM Doctoral Consortium / Demo Track 2021, Eindhoven, The Netherlands, November, 2021. CEUR Workshop Proceedings 3098, CEUR-WS.org 2022 [contents] - [i4]Anna A. Kalenkova, Lewis Mitchell, Matthew Roughan:
Performance Analysis: Discovering Semi-Markov Models From Event Logs. CoRR abs/2206.14415 (2022) - [i3]Andrei Tour, Artem Polyvyanyy, Anna A. Kalenkova, Arik Senderovich:
Agent Miner: An Algorithm for Discovering Agent Systems from Event Data. CoRR abs/2212.01454 (2022) - 2021
- [j10]Andrei Tour, Artem Polyvyanyy, Anna A. Kalenkova:
Agent System Mining: Vision, Benefits, and Challenges. IEEE Access 9: 99480-99494 (2021) - [j9]Anna A. Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa:
Automated Repair of Process Models with Non-local Constraints Using State-Based Region Theory. Fundam. Informaticae 183(3-4): 293-317 (2021) - [c18]Anna A. Kalenkova, Artem Polyvyanyy, Marcello La Rosa:
Structural and Behavioral Biases in Process Comparison Using Models and Logs. ER 2021: 62-73 - [e1]Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [i2]Anna A. Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa:
Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory. CoRR abs/2106.15398 (2021) - 2020
- [c17]Anna A. Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa:
Automated Repair of Process Models Using Non-local Constraints. Petri Nets 2020: 280-300 - [c16]Anna A. Kalenkova, Artem Polyvyanyy, Marcello La Rosa:
A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics. BPM 2020: 129-146 - [c15]Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich:
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. ICPM Doctoral Consortium / Tools 2020: 39-42 - [c14]Anna A. Kalenkova, Artem Polyvyanyy:
A Spectrum of Entropy-Based Precision and Recall Measurements Between Partially Matching Designed and Observed Processes. ICSOC 2020: 337-354 - [i1]Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio, Luciano García-Bañuelos, Anna A. Kalenkova, Sander J. J. Leemans, Jan Mendling, Alistair Moffat, Matthias Weidlich:
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining. CoRR abs/2008.09558 (2020)
2010 – 2019
- 2019
- [j8]A. A. Kalenkova, D. A. Kolesnikov:
Application of a Genetic Algorithm for Finding Edit Distances between Process Models. Autom. Control. Comput. Sci. 53(7): 617-627 (2019) - [j7]Anna A. Kalenkova, Andrea Burattin, Massimiliano de Leoni, Wil M. P. van der Aalst, Alessandro Sperduti:
Discovering high-level BPMN process models from event data. Bus. Process. Manag. J. 25(5): 995-1019 (2019) - [c13]Andrey V. Skobtsov, Anna A. Kalenkova:
Using Heuristic Algorithms for Fast Alignment between Business Processes and Goals. EDOC Workshops 2019: 85-91 - [c12]Artem Polyvyanyy, Anna A. Kalenkova:
Monotone Conformance Checking for Partially Matching Designed and Observed Processes. ICPM 2019: 81-88 - 2018
- [c11]Polina D. Tarantsova, Anna A. Kalenkova:
Constructing Regular Expressions from Real-Life Event Logs. AIST 2018: 274-280 - 2017
- [j6]Alexey A. Mitsyuk, Ivan S. Shugurov, Anna A. Kalenkova, Wil M. P. van der Aalst:
Generating event logs for high-level process models. Simul. Model. Pract. Theory 74: 1-16 (2017) - [j5]Anna A. Kalenkova, Wil M. P. van der Aalst, Irina A. Lomazova, Vladimir A. Rubin:
Process mining using BPMN: relating event logs and process models. Softw. Syst. Model. 16(4): 1019-1048 (2017) - [j4]Sergey A. Shershakov, Anna A. Kalenkova, Irina A. Lomazova:
Transition Systems Reduction: Balancing Between Precision and Simplicity. Trans. Petri Nets Other Model. Concurr. 12: 119-139 (2017) - [c10]Andrey M. Konchagin, Anna A. Kalenkova:
On the Efficient Application of Aho-Corasick Algorithm in Process Mining. AIST 2017: 371-377 - [c9]A. A. Kalenkova, A. A. Ageev, Irina A. Lomazova, Wil M. P. van der Aalst:
E-Government Services: Comparing Real and Expected User Behavior. Business Process Management Workshops 2017: 484-496 - 2016
- [c8]Sergey A. Shershakov, Anna A. Kalenkova, Irina A. Lomazova:
Transition Systems Reduction: Balancing between Precision and Simplicity. ATAED@Petri Nets/ACSD 2016: 78-95 - [c7]Anna A. Kalenkova, Wil M. P. van der Aalst, Irina A. Lomazova, Vladimir A. Rubin:
Process mining using BPMN: relating event logs and process models. MoDELS 2016: 123 - 2015
- [c6]Wil M. P. van der Aalst, Anna A. Kalenkova, Vladimir A. Rubin, Eric Verbeek:
Process Discovery Using Localized Events. Petri Nets 2015: 287-308 - [c5]Sergey Ivanov, Anna A. Kalenkova, Wil M. P. van der Aalst:
BPMNDiffViz: A Tool for BPMN Models Comparison. BPM (Demos) 2015: 35-39 - 2014
- [j3]Anna A. Kalenkova, Irina A. Lomazova:
Discovery of Cancellation Regions within Process Mining Techniques. Fundam. Informaticae 133(2-3): 197-209 (2014) - [c4]Anna A. Kalenkova, Irina A. Lomazova, Wil M. P. van der Aalst:
Process Model Discovery: A Method Based on Transition System Decomposition. Petri Nets 2014: 71-90 - [c3]Anna A. Kalenkova, Massimiliano de Leoni, Wil M. P. van der Aalst:
Discovering, Analyzing and Enhancing BPMN Models Using ProM. BPM (Demos) 2014: 36 - 2013
- [c2]Anna A. Kalenkova, Irina A. Lomazova:
Discovery of Cancellation Regions within Process Mining Techniques. CS&P 2013: 232-244 - 2012
- [j2]A. A. Kalenkova:
An algorithm of automatic workflow optimization. Program. Comput. Softw. 38(1): 43-56 (2012) - 2011
- [c1]Olga Ataeva, Anna A. Kalenkova, Vladimir A. Serebriakov:
MultiMeta - Система интеграции пространственных данных и ресурсов электронных библиотек (MultiMeta - A System of Spatial and Digital Library Resources Integration). RCDL 2011: 26-29 - 2010
- [j1]A. A. Kalenkova:
Application of if-conversion to verification and optimization of workflows. Program. Comput. Softw. 36(5): 276-288 (2010)
Coauthor Index
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