Výsledky vyhledávání - "Sander J. J. Leemans"

Akademický článek

Comparing Conformance Checking for Decision Mining: An Axiomatic Approach

Autor: Adam Banham, Arthur H. M. Ter Hofstede, Sander J. J. Leemans, Felix Mannhardt, Robert Andrews, Moe T. Wynn

Publikováno v: IEEE Access, Vol 12, Pp 60276-60298 (2024)

Process mining uses historical executions of business processes (as recorded in an event log) to uncover and describe the process’ behaviour as a process model. The goal of conformance checking is to ensure that the model is of high quality and is

Externí odkaz: https://doaj.org/article/e9a5d90dc0b24f0b9576c070ef30e03e

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Akademický článek

Translating Workflow Nets to Process Trees: An Algorithmic Approach

Autor: Sebastiaan J. van Zelst, Sander J. J. Leemans

Publikováno v: Algorithms, Vol 13, Iss 11, p 279 (2020)

Since their introduction, process trees have been frequently used as a process modeling formalism in many process mining algorithms. A process tree is a (mathematical) tree-based model of a process, in which internal vertices represent behavioral con

Externí odkaz: https://doaj.org/article/ed57ba88fb3e473288d2a830b19a8971

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Akademický článek

Digital Health Data Quality Issues: Systematic Review

Autor: Rehan Syed, Rebekah Eden, Tendai Makasi, Ignatius Chukwudi, Azumah Mamudu, Mostafa Kamalpour, Dakshi Kapugama Geeganage, Sareh Sadeghianasl, Sander J J Leemans, Kanika Goel, Robert Andrews, Moe Thandar Wynn, Arthur ter Hofstede, Trina Myers

Publikováno v: Journal of Medical Internet Research, Vol 25, p e42615 (2023)

BackgroundThe promise of digital health is principally dependent on the ability to electronically capture data that can be analyzed to improve decision-making. However, the ability to effectively harness data has proven elusive, largely because of th

Externí odkaz: https://doaj.org/article/8be4556b39a643da9aea832e5997513d

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Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking

Autor: Felix Mannhardt, Sander J. J. Leemans, Christopher T. Schwanen, Massimiliano de Leoni

Publikováno v: Application and Theory of Petri Nets and Concurrency, 77-98
STARTPAGE=77;ENDPAGE=98;TITLE=Application and Theory of Petri Nets and Concurrency
Application and Theory of Petri Nets and Concurrency ISBN: 9783031336195

Process mining aims to analyse business process behaviourby discovering process models such as Petri nets from process executions recorded as sequential traces in event logs. Such discovered Petrinets capture the process behaviour observed in a log b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::279d7996ca967f2b025c62947f5c4ac3
https://research.tue.nl/nl/publications/4307c278-9d4f-4096-93db-e4b62f329e1f

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Digital Health Data Quality Issues: Systematic Review (Preprint)

BACKGROUND The promise of digital health is principally dependent on the ability to electronically capture data that can be analyzed to improve decision-making. However, the ability to effectively harness data has proven elusive, largely because of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b25a492b4231caa6d2342d63162cec2
https://doi.org/10.2196/preprints.42615

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Robust Drift Characterization from Event Streams of Business Processes

Autor: Marcello La Rosa, Sander J. J. Leemans, Alireza Ostovar

Publikováno v: ACM Transactions on Knowledge Discovery from Data. 14:1-57

Process workers may vary the normal execution of a business process to adjust to changes in their operational environment, e.g., changes in workload, season, or regulations. Changes may be simple, such as skipping an individual activity, or complex,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8cc041bd198f565d71f2397661f48689
https://doi.org/10.1145/3375398

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