Anastasiia Pika
Anastasiia Pika
Process Mining Research
Verified email at hdr.qut.edu.au
Title
Cited by
Cited by
Year
Current research in risk-aware business process management―overview, comparison, and gap analysis
S Suriadi, B Weiß, A Winkelmann, AHM ter Hofstede, M Adams, R Conforti, ...
Communications of the Association for Information Systems 34 (1), 52, 2014
952014
Predicting deadline transgressions using event logs
A Pika, WMP van der Aalst, CJ Fidge, AHM ter Hofstede, MT Wynn
International Conference on Business Process Management, 211-216, 2012
732012
Evaluating and predicting overall process risk using event logs
A Pika, WMP van der Aalst, MT Wynn, CJ Fidge, AHM ter Hofstede
Information Sciences 352, 98-120, 2016
402016
An extensible framework for analysing resource behaviour using event logs
A Pika, MT Wynn, CJ Fidge, AHM ter Hofstede, M Leyer, ...
International Conference on Advanced Information Systems Engineering, 564-579, 2014
372014
Mining resource profiles from event logs
A Pika, M Leyer, M Wynn, C Fidge, AHM ter Hofstede, WMP van der Aalst
ACM Transactions on Management Information Systems (TMIS) 8 (1), Article 1, 2017
352017
Profiling event logs to configure risk indicators for process delays
A Pika, WMP Van Der Aalst, CJ Fidge, AHM Ter Hofstede, MT Wynn
International Conference on Advanced Information Systems Engineering, 465-481, 2013
252013
Towards privacy-preserving process mining in healthcare
A Pika, MT Wynn, S Budiono, AHM ter Hofstede, WMP van der Aalst, ...
International Conference on Business Process Management, 483-495, 2019
172019
Privacy-preserving process mining in healthcare
A Pika, MT Wynn, S Budiono, AHM Ter Hofstede, WMP van der Aalst, ...
International journal of environmental research and public health 17 (5), 1612, 2020
162020
Using big data to improve safety performance: an application of process mining to enhance data visualisation
A Pika, AHM ter Hofstede, RK Perrons, G Grossmann, M Stumptner, ...
Big Data Research 25, 100210, 2021
82021
Process query language: Design, implementation, and evaluation
A Polyvyanyy, AHM ter Hofstede, M La Rosa, C Ouyang, A Pika
arXiv preprint arXiv:1909.09543, 2019
72019
Analysing an industrial safety process through process mining: A case study
A Pika, AHM ter Hofstede, RK Perrons, G Grossmann, M Stumptner, ...
Asset Intelligence through Integration and Interoperability and Contemporary …, 2019
42019
Comparing static and dynamic aspects of patient flows via process model visualisations
R Andrews, S Suriadi, MT Wynn, AHM ter Hofstede, A Pika, HH Nguyen, ...
42016
A systematic approach for discovering causal dependencies between observations and incidents in the health and safety domain
A Polyvyanyy, A Pika, MT Wynn, AHM Ter Hofstede
Safety science 118, 345-354, 2019
32019
Grounding process data analytics in domain knowledge: A mixed-method approach to identifying best practice
MT Wynn, S Suriadi, R Eden, E Poppe, A Pika, R Andrews, ...
International Conference on Business Process Management, 163-179, 2019
32019
Scenario-based process querying for compliance, reuse, and standardization
A Polyvyanyy, A Pika, AHM ter Hofstede
Information Systems 93, 101563, 2020
22020
Mining process risks and resource profiles
A Pika
Queensland University of Technology, 2015
22015
Workforce Upskilling: A History-Based Approach for Recommending Unfamiliar Process Activities
A Pika, MT Wynn
International Conference on Advanced Information Systems Engineering, 334-349, 2020
12020
A Machine Learning Based Approach for Recommending Unfamiliar Process Activities
A Pika, MT Wynn
IEEE Access, 2021
2021
Extracting Best-Practice Using Mixed-Methods
E Poppe, A Pika, MT Wynn, R Eden, R Andrews, AHM ter Hofstede
Business & Information Systems Engineering, 1-15, 2021
2021
Extracting Best-Practice Using Mixed-Methods: Insights and Recommendations from a Case Study in Insurance Claims Processing
E Poppe, A Pika, MT Wynn, R Eden, R Andrews, A ter Hofstede
Business and Information Systems Engineering, 2020
2020
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Articles 1–20