Výsledky vyhledávání - "Anastasiia Pika"

Akademický článek

A Machine Learning Based Approach for Recommending Unfamiliar Process Activities

Autor: Anastasiia Pika, Moe Thandar Wynn

Publikováno v: IEEE Access, Vol 9, Pp 104969-104979 (2021)

Performance of business processes is affected by capabilities of employees who execute activities in these processes. Resource allocation approaches aim to identify an optimal allocation of resources to activities which supports the achievement of so

Externí odkaz: https://doaj.org/article/4413c667ef9d4e229c940cdf232cb18a

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Configurable Batch-Processing Discovery from Event Logs

Autor: Anastasiia Pika, Chun Ouyang, Arthur H. M. ter Hofstede

Publikováno v: ACM Transactions on Management Information Systems. 13:1-25

Batch processing is used in many production and service processes and can help achieve efficiencies of scale; however, it can also increase inventories and introduce process delays. Before organizations can develop good understanding about the effect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3f68a952095a2343c9954513768e61ad
https://doi.org/10.1145/3490394

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Extracting Best-Practice Using Mixed-Methods

Autor: Robert Andrews, Rebekah Eden, Anastasiia Pika, Arthur H. M. ter Hofstede, Moe Thandar Wynn, Erik Poppe

Publikováno v: Business & Information Systems Engineering. 63:637-651

Problem Definition: Queensland’s Compulsory Third-Party (CTP) Insurance Scheme provides a mechanism for persons injured as a result of a motor vehicle accident to receive compensation. Managing CTP claims involves multiple stakeholders with potenti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d8c973b6a2681e16e7fb0e197b8e6103
https://doi.org/10.1007/s12599-021-00698-9

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Privacy-Preserving Process Mining in Healthcare

Autor: Anastasiia Pika, Wil M. P. van der Aalst, Hajo A. Reijers, Stephanus Budiono, Arthur H. M. ter Hofstede, Moe Thandar Wynn

Publikováno v: International journal of environmental research and public health : IJERPH 17(5), 1612 (2020). doi:10.3390/ijerph17051612 special issue: "Special Issue "Process-Oriented Data Science for Healthcare 2019 (PODS4H19)" / Special Issue Editors: Dr. Jorge Munoz,Gama, Guest Editor ; Dr. Carlos Fernandez-Llatas, Guest Editor ; Dr. Niels Martin, Guest Editor ; Dr. Owen Johnson, Guest Editor"
Proceedings of the Second International Workshop on Process-Oriented Data Science for Healthcare, Vienna, Austria, 1-6 September 2019 “Towards Privacy-Preserving Process Mining in Healthcare”., BPM 2019, Wien, Austria, 2019-09-01-2019-09-06
International Journal of Environmental Research and Public Health
Volume 17
Issue 5
International Journal of Environmental Research and Public Health, Vol 17, Iss 5, p 1612 (2020)
International Journal of Environmental Research and Public Health, 17(5):1612. Multidisciplinary Digital Publishing Institute (MDPI)
International Journal of Environmental Research and Public Health, 17(5), 1. MDPI AG

Process mining has been successfully applied in the healthcare domain and has helped touncover various insights for improving healthcare processes. While the benefits of process miningare widely acknowledged, many people rightfully have concerns abou

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbdbcd0524c3d90f35de697a09a72c86

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Workforce Upskilling: A History-Based Approach for Recommending Unfamiliar Process Activities

Autor: Anastasiia Pika, Moe Thandar Wynn

Publikováno v: Advanced Information Systems Engineering ISBN: 9783030494346
CAiSE

Human resource allocation decisions have a direct impact on the performance of a business process. Many approaches to optimal resource allocation have been proposed in the Business Process Management community. The majority of these approaches aim to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c9e02c0f6c416cc68f3708c39ae162d
https://doi.org/10.1007/978-3-030-49435-3_21

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Using Big Data to Improve Safety Performance: An Application of Process Mining to Enhance Data Visualisation

Autor: Anastasiia Pika, Georg Grossmann, Robert K. Perrons, Jim Cooley, Markus Stumptner, Arthur H. M. ter Hofstede

Publikováno v: Big Data Research. 25:100210

The management of health and safety plays an important role in safety performance, and is therefore an important foundational element in an organisation's overall sustainable development. Many organisations are now able to collect vast amounts of dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db8180a0f3037ed490c8cf83a1fa8443
https://doi.org/10.1016/j.bdr.2021.100210

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Mining resource profiles from event logs

Autor: Michael Leyer, Arthur H. M. ter Hofstede, Anastasiia Pika, Wil M. P. van der Aalst, Moe Thandar Wynn, Colin J. Fidge

Publikováno v: ACM Transactions on Management Information Systems, 8(1):1, 1-30. Association for Computing Machinery, Inc
ACM Transactions on Management Information Systems

In most business processes, several activities need to be executed by human resources and cannot be fully automated. To evaluate resource performance and identify best practices as well as opportunities for improvement, managers need objective inform

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0fb7121fd99af5079188dc1120067ec
https://doi.org/10.1145/3041218

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Towards privacy-preserving process mining in healthcare

Autor: Anastasiia Pika, Stephanus Budiono, Hajo A. Reijers, Arthur H. M. ter Hofstede, Moe Thandar Wynn, Wil M. P. van der Aalst

Publikováno v: Business Process Management Workshops ISBN: 9783030374525
Business Process Management Workshops

Process mining has been successfully applied in the healthcare domain and helped to uncover various insights for improving healthcare processes. While benefits of process mining are widely acknowledged, many people rightfully have concerns about irre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::623382856ffa4a32866a10df29cb61a3
https://igi.indrastra.com/items/show/30471

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A systematic approach for discovering causal dependencies between observations and incidents in the health and safety domain

Autor: Anastasiia Pika, Arthur H. M. ter Hofstede, Artem Polyvyanyy, Moe Thandar Wynn

Publikováno v: Safety Science

The paper at hand motivates, proposes, demonstrates, and evaluates a novel systematic approach to discovering causal dependencies between events encoded in large arrays of data, called causality mining. The approach has emerged in the discussions wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b23c7991cbe82b3caeda94d092c9076
https://igi.indrastra.com/items/show/30440

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Grounding process data analytics in domain knowledge: A mixed-method approach to identifying best practice

Autor: Erik Poppe, Anastasiia Pika, Arthur H. M. ter Hofstede, Robert Andrews, Suriadi Suriadi, Moe Thandar Wynn, Rebekah Eden

Publikováno v: Lecture Notes in Business Information Processing ISBN: 9783030266424
BPM Forum

The often used notion of ‘best practice’ can be hard to nail down, especially when a process involves multiple stakeholders with conflicting interests, as is common in healthcare, banking, and insurance domains. This exploratory paper presents a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65dca651eca0a0698a8f6ac38bd88b2d
https://igi.indrastra.com/items/show/30458

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