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Teses / dissertações sobre o tema "Business Process Mining"

Autor: Grafiati
Publicado: 23 de novembro de 2024
Última modificação: 31 de julho de 2025

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1

Nguyen, Hoang H. "Stage-aware business process mining." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/130602/9/Hoang%20Nguyen%20Thesis.pdf.

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Process mining enables the analysis of event logs to gain actionable insights into an organisation’s operations. However, state-of-the-art process mining techniques do not exploit the natural decomposition characteristics of business processes. “Process stages” are a generic type of business process decomposition prevalent in multiple domains, e.g. the stages of loan processing, the support levels in IT helpdesk, or the clinical stages in patient treatment. This study contributes a novel approach to process mining based on process stages. The approach is grounded on four techniques that allow
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2

Bala, Saimir, Macias Cristina Cabanillas, Andreas Solti, Jan Mendling, and Axel Polleres. "Mining Project- Oriented Business Processes." Springer, Cham, 2015. http://dx.doi.org/10.1007/978-3-319-23063-4_28.

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Large engineering processes need to be monitored in detail regarding when what was done in order to prove compliance with rules and regulations. A typical problem of these processes is the lack of con- trol that a central process engine provides, such that it is difficult to track the actual course of work even if data is stored in version control systems (VCS). In this paper, we address this problem by defining a mining technique that helps to generate models that visualize the work history as GANTT charts. To this end, we formally define the notion of a project-oriented business proc
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3

Turner, Christopher James. "A genetic programming based business process mining approach." Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/4471.

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As business processes become ever more complex there is a need for companies to understand the processes they already have in place. To undertake this manually would be time consuming. The practice of process mining attempts to automatically construct the correct representation of a process based on a set of process execution logs. The aim of this research is to develop a genetic programming based approach for business process mining. The focus of this research is on automated/semi automated business processes within the service industry (by semi automated it is meant that part of the process
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4

Burattin, Andrea <1984&gt. "Applicability of Process Mining Techniques in Business Environments." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5446/1/thesis-final-v4.pdf.

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This thesis analyses problems related to the applicability, in business environments, of Process Mining tools and techniques. The first contribution is a presentation of the state of the art of Process Mining and a characterization of companies, in terms of their "process awareness". The work continues identifying circumstance where problems can emerge: data preparation; actual mining; and results interpretation. Other problems are the configuration of parameters by not-expert users and computational complexity. We concentrate on two possible scenarios: "batch" and "on-line" Process Mini
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Burattin, Andrea <1984&gt. "Applicability of Process Mining Techniques in Business Environments." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amsdottorato.unibo.it/5446/.

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This thesis analyses problems related to the applicability, in business environments, of Process Mining tools and techniques. The first contribution is a presentation of the state of the art of Process Mining and a characterization of companies, in terms of their "process awareness". The work continues identifying circumstance where problems can emerge: data preparation; actual mining; and results interpretation. Other problems are the configuration of parameters by not-expert users and computational complexity. We concentrate on two possible scenarios: "batch" and "on-line" Process Mini
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6

Al, Jlailaty Diana. "Mining Business Process Information from Emails Logs for Process Models Discovery." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED028.

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Les informations échangées dans les textes des courriels sont généralement concernées par des événements complexes ou des processus métier dans lesquels les entités qui échangent des courriels collaborent pour atteindre les objectifs finaux des processus. Ainsi, le flux d’informations dans les courriels envoyés et reçus constitue une partie essentielle, les activités métier de l’entreprise. L’extraction d’informations sur les processus métier à partir des courriels peut aider à améliorer la gestion des courriels pour les utilisateurs. Il peut également être utilisé pour tr
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7

Ostovar, Alireza. "Business process drift: Detection and characterization." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/127157/1/Alireza_Ostovar_Thesis.pdf.

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This research contributes a set of techniques for the early detection and characterization of process drifts, i.e. statistically significant changes in the behavior of business operations, as recorded in transactional data. Early detection and subsequent characterization of process drifts allows organizations to take prompt remedial actions and avoid potential repercussions resulting from unplanned changes in the behavior of their operations.
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8

Yongsiriwit, Karn. "Modeling and mining business process variants in cloud environments." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLL002/document.

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De plus en plus les organisations adoptent les systèmes d'informations sensibles aux processus basés sur Cloud en tant qu'un environnement pour gérer et exécuter des processus dans le Cloud dans l'objectif de partager et de déployer leurs applications de manière optimale. Cela est particulièrement vrai pour les grandes organisations ayant des succursales opérant dans des différentes régions avec des processus considérablement similaires. Telles organisations doivent soutenir de nombreuses variantes du même processus en raison de la culture locale de leurs succursales, de leurs règlements, etc.
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9

Yongsiriwit, Karn. "Modeling and mining business process variants in cloud environments." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLL002.

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De plus en plus les organisations adoptent les systèmes d'informations sensibles aux processus basés sur Cloud en tant qu'un environnement pour gérer et exécuter des processus dans le Cloud dans l'objectif de partager et de déployer leurs applications de manière optimale. Cela est particulièrement vrai pour les grandes organisations ayant des succursales opérant dans des différentes régions avec des processus considérablement similaires. Telles organisations doivent soutenir de nombreuses variantes du même processus en raison de la culture locale de leurs succursales, de leurs règlements, etc.
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10

Bou, nader Ralph. "Enhancing email management efficiency : A business process mining approach." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAS017.

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La gestion des processus métier (BPM) est cruciale pour toute organisation cherchant à améliorer constamment ses opérations. Cela implique plusieurs étapes : conception, modélisation, exécution, surveillance, optimisation et automatisation. Un élément central du BPM est l'analyse des processus, qui consiste à examiner les traces d'exécution pour identifier les inefficacités et les déviations par rapport aux processus prévus. Cette analyse se concentre particulièrement sur la prédiction des processus futurs et sur la vérification de leur conformité. Dans cette thèse, nous nous penchons sur les
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Schönig, Stefan, Macias Cristina Cabanillas, Ciccio Claudio Di, Stefan Jablonski, and Jan Mendling. "Mining team compositions for collaborative work in business processes." Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/s10270-016-0567-4.

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Process mining aims at discovering processes by extracting knowledge about their different perspectives from event logs. The resource perspective (or organisational perspective) deals, among others, with the assignment of resources to process activities. Mining in relation to this perspective aims to extract rules on resource assignments for the process activities. Prior research in this area is limited by the assumption that only one resource is responsible for each process activity, and hence, collaborative activities are disregarded. In this paper, we leverage this assumption by developing
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12

PESTANA, L. F. "Aplicação do Process Mining na Auditoria de Processos Governamentais." Universidade Federal do Espírito Santo, 2017. http://repositorio.ufes.br/handle/10/8692.

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Made available in DSpace on 2018-08-01T23:38:03Z (GMT). No. of bitstreams: 1 tese_10969_Dissertação Luciana França_Versão Final.pdf: 2442120 bytes, checksum: c6bc5141d2f33e637a2a6eb80e448216 (MD5) Previous issue date: 2017-12-06<br>A auditoria de processos de negócios é um tema de relevância crescente na literatura. No entanto, técnicas tradicionais e manuais demonstram-se insatisfatórias ou insuficientes, visto que as mesmas são custosas, podem ser tendenciosas e passíveis de erros, além de envolverem grande quantidade de recursos temporais, humanos e materiais. Nesse sentido, o presente e
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13

Castellano, Mattia. "Business Process Management e tecniche per l'applicazione del Process Mining. Il caso Università degli Studi di Parma." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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In un mondo in cui l'apertura di nuovi mercati e l'introduzione di nuove tecnologie genera continuamente nuove opportunità, le aziende devono sempre più imparare ad adattarsi e a gestire il cambiamento. Con la diffusione del Process Thinking le organizzazioni iniziano a rendere propri concetti quali processi, attività, eventi, flussi, cambiamento e sviluppo. E' in questo scenario che nascono discipline orientate al cambiamento organizzativo e miglioramento dei processi aziendali, come il Business Process Re-engineering (BPR) e il Business Process Management (BPM). L'aumento della tecnologia e
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14

Decker, Sebastian. "Data-driven business process improvement : An illustrative case study about the impacts and success factors of business process mining." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-43958.

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The current business environment is rapidly and fundamentally changing. The main driver are digital technologies. Companies face the pressure to exploit those technologies to improve their business processes in order to achieve competitive advantage. In the light of increased complexity of business processes and the existence of corporate Big Data stored in information systems, the discipline of process mining has emerged. Investigate how process mining can support the optimization of business processes. In this qualitative study, an illustrative case study research is utilized involving eight
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15

Schönig, Stefan, Macias Cristina Cabanillas, Stefan Jablonski, and Jan Mendling. "A framework for efficiently mining the organisational perspective of business processes." Elsevier, 2016. http://dx.doi.org/10.1016/j.dss.2016.06.012.

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Process mining aims at discovering processes by extracting knowledge from event logs. Such knowledge may refer to different business process perspectives. The organisational perspective deals, among other things, with the assignment of human resources to process activities. Information about the resources that are involved in process activities can be mined from event logs in order to discover resource assignment conditions, which is valuable for process analysis and redesign. Prior process mining approaches in this context present one of the following issues: (i) they are limited to discoveri
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Bala, Saimir, Jan Mendling, Martin Schimak, and Peter Queteschiner. "Case and Activity Identification for Mining Process Models from Middleware." Springer, Cham, 2018. http://epub.wu.ac.at/6620/1/PoEM2018%2Dsubmitted.pdf.

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Process monitoring aims to provide transparency over operational aspects of a business process. In practice, it is a challenge that traces of business process executions span across a number of diverse systems. It is cumbersome manual engineering work to identify which attributes in unstructured event data can serve as case and activity identifiers for extracting and monitoring the business process. Approaches from literature assume that these identifiers are known a priori and data is readily available in formats like eXtensible Event Stream (XES). However, in practice this is hardly the case
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17

Pika, Anastasiia. "Mining process risks and resource profiles." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/86079/1/Anastasiia_Pika_Thesis.pdf.

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This research contributes novel techniques for identifying and evaluating business process risks and analysing human resource behaviour. The developed techniques use predefined indicators to identify process risks in individual process instances, evaluate overall process risk, predict process outcomes and analyse human resource behaviour based on the analysis of information about process executions recorded in event logs by information systems. The results of this research can help managers to more accurately evaluate the risk exposure of their business processes, to more objectively evaluate
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18

Gerke, Kerstin. "Continual process improvement based on reference models and process mining." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2011. http://dx.doi.org/10.18452/16353.

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Geschäftsprozesse stellen ein wichtiges Gut eines Unternehmens dar. Für den Unternehmenserfolg sind nicht einmalig optimal gestaltete Prozesse entscheidend, sondern die Fähigkeit, schnell auf neue Entwicklungen reagieren und die betroffenen Prozesse flexibel anpassen zu können. In vielen Unternehmen ist eine aktuelle Beschreibung ihrer Prozesse als wesentliche Voraussetzung für die Prozessverbesserung jedoch nicht oder nur unzureichend gegeben. Nicht selten wird ein erstelltes Prozessmodell nicht weiterverwendet, so dass es nach kurzer Zeit von der betrieblichen Realität abweicht. Diese fehlen
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19

Gonella, Philippe. "Business Process Management and Process Mining within a Real Business Environment: An Empirical Analysis of Event Logs Data in a Consulting Project." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11799/.

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Il presente elaborato esplora l’attitudine delle organizzazioni nei confronti dei processi di business che le sostengono: dalla semi-assenza di struttura, all’organizzazione funzionale, fino all’avvento del Business Process Reengineering e del Business Process Management, nato come superamento dei limiti e delle problematiche del modello precedente. All’interno del ciclo di vita del BPM, trova spazio la metodologia del process mining, che permette un livello di analisi dei processi a partire dagli event data log, ossia dai dati di registrazione degli eventi, che fanno riferimento a tutte quel
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20

Bala, Saimir. "Mining Projects from Structured and Unstructured Data." Jens Gulden, Selmin Nurcan, Iris Reinhartz-Berger, Widet Guédria, Palash Bera, Sérgio Guerreiro, Michael Fellman, Matthias Weidlich, 2017. http://epub.wu.ac.at/7205/1/ProjecMining%2DCamera%2DReady.pdf.

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Companies working on safety-critical projects must adhere to strict rules imposed by the domain, especially when human safety is involved. These projects need to be compliant to standard norms and regulations. Thus, all the process steps must be clearly documented in order to be verifiable for compliance in a later stage by an auditor. Nevertheless, documentation often comes in the form of manually written textual documents in different formats. Moreover, the project members use diverse proprietary tools. This makes it difficult for auditors to understand how the actual project was condu
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21

Sharma, Sumana. "An Integrated Knowledge Discovery and Data Mining Process Model." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/1615.

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Enterprise decision making is continuously transforming in the wake of ever increasing amounts of data. Organizations are collecting massive amounts of data in their quest for knowledge nuggets in form of novel, interesting, understandable patterns that underlie these data. The search for knowledge is a multi-step process comprising of various phases including development of domain (business) understanding, data understanding, data preparation, modeling, evaluation and ultimately, the deployment of the discovered knowledge. These phases are represented in form of Knowledge Discovery and Data M
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22

El-Gharib, Najah Mary. "Using Process Mining Technology to Understand User Behavior in SaaS Applications." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39963.

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Processes are running everywhere. Understanding and analyzing business and software processes and their interactions is critical if we wish to improve them. There are many event logs generated from Information Systems and applications related to fraud detection, healthcare processes, e-commerce processes, and others. These event logs are the starting point for process mining. Process mining aims to discover, monitor, and improve real processes by extracting knowledge from event logs available in information systems. Process mining provides fact-based insight from real event logs that helps ana
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23

Moctar, m'baba Leyla. "Combining Blockchain and IoT for business processes deployment and mining." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAS010.

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Blockchain, initialement utilisé en 2009 pour les transactions de cryptomonnaie, a rapidement évolué au-delà des applications financières. La communauté BPM a reconnu son potentiel pour améliorer la gestion des processus métier (BPM) et favoriser les collaborations inter-organisationnelles. Malgré des recherches approfondies sur l'exécution des processus d'affaires basés sur la blockchain, l'exploration de données de la blockchain pour le process mining a récemment commencé à être explorée. Les études actuelles se concentrent principalement sur les processus centrés sur les activités, négligea
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24

Schieber, Andreas, and Andreas Hilbert. "Entwicklung eines generischen Vorgehensmodells für Text Mining." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-141372.

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Vor dem Hintergrund des steigenden Interesses von computergestützter Textanalyse in Forschung und Praxis entwickelt dieser Beitrag auf Basis aktueller Literatur ein generisches Vorgehensmodell für Text-Mining-Prozesse. Das Ziel des Beitrags ist, die dabei anfallenden, umfangreichen Aktivitäten zu strukturieren und dadurch die Komplexität von Text-Mining-Vorhaben zu reduzieren. Das Forschungsziel stützt sich auf die Tatsache, dass im Rahmen einer im Vorfeld durchgeführten, systematischen Literatur-Review keine detaillierten, anwendungsneutralen Vorgehensmodelle für Text Mining identifiziert wer
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Polańska, Julia, and Michał Zyznarski. "Elaboration of a method for comparison of Business Intelligence Systems which support data mining process." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2078.

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Business Intelligence Systems are becoming more and more popular in recent years. It is caused by the need of reusing data in order to gain some potentially useful business information about. Those systems are advanced set of tools, which causes high prices of purchase and licensing. Therefore, it is important to choose the system which fits the best particular business needs. The aim of this thesis is to elaborate a method for comparison of existing Business Intelligence Systems that are supporting data mining. The method consist of a quality model, build according to existing standards, and
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26

Evangelista, Pescorán Misael Elias, and Torres Andre Junior Coronado. "Modelo para la evaluación de variables en el Sector Salud utilizando Process Mining y Data Visualization." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/653132.

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El presente trabajo propone un modelo para la evaluación de variables en el sector salud utilizando Process Mining y Data Visualization soportado por la herramienta Celonis. Esto surge ante la problemática orientada a la dificultad en la comprensión de las actividades que están involucradas en los procesos negocios y los resultados de este. El proyecto se centra en la investigación de dos disciplinas emergentes. Una de estas disciplinas es Process Mining y se enfoca principalmente en los procesos, en los datos por cada evento, esto con el fin de descubrir un modelo, ver conformidad de los
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Reguieg, Hicham. "Using MapReduce to scale event correlation discovery for process mining." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2014. http://tel.archives-ouvertes.fr/tel-01002623.

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The volume of data related to business process execution is increasing significantly in the enterprise. Many of data sources include events related to the execution of the same processes in various systems or applications. Event correlation is the task of analyzing a repository of event logs in order to find out the set of events that belong to the same business process execution instance. This is a key step in the discovery of business processes from event execution logs. Event correlation is a computationally-intensive task in the sense that it requires a deep analysis of very large and grow
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28

Dayan, Imran. "A method for measuring Internal Fraud Risk (IFR) of business organisations with ERP systems." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/17556.

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ERP system has shaped the way modern organisations design, control, and execute business processes. It has not only paved the way for efficient use of organisational resources but also offered the opportunity to utilise data logged in the system for ensuring internal control. The key contribution of this research is that it has resulted in a method which can practically be employed by internal auditors for measuring internal fraud risk of business organisations with ERP systems, by utilising process mining technique and evidential reasoning in the form of Bayesian theorem, in a much more effec
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Verenich, Ilya. "Explainable predictive monitoring of temporal measures of business processes." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/124037/1/Ilya_Verenich_Thesis.pdf.

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This thesis explores data-driven, predictive approaches to monitor business process performance. These approaches allow process stakeholders to prevent or mitigate potential performance issues or compliance violations in real time, as early as possible. To help users understand the rationale for the predictions and build trust in them, the thesis proposes two techniques for explainable predictive process monitoring: one based on deep learning, the other driven by process models. This is achieved by decomposing a prediction into its elementary components. The techniques are compared against sta
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Singh, Rahul. "A model to integrate Data Mining and On-line Analytical Processing: with application to Real Time Process Control." VCU Scholars Compass, 1999. https://scholarscompass.vcu.edu/etd/5521.

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Since the widespread use of computers in business and industry, a lot of research has been done on the design of computer systems to support the decision making task. Decision support systems support decision makers in solving unstructured decision problems by providing tools to help understand and analyze decision problems to help make better decisions. Artificial intelligence is concerned with creating computer systems that perform tasks that would require intelligence if performed by humans. Much research has focused on using artificial intelligence to develop decision support systems to prov
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Thom, Lucinéia Heloisa. "A pattern-based approach for business process modeling." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2006. http://hdl.handle.net/10183/8512.

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Organizações modernas apresentam demandas relacionadas à automação dos seus processos de negócio devido à alta complexidade dos mesmos e à necessidade de maior eficácia na execução. Neste contexto, a tecnologia de workflow tem se mostrado bastante eficiente, principalmente para a automatização dos processos de negócio. No entanto, por ser uma tecnologia emergente e em evolução, workflow apresenta algumas limitações. Ainda que diversos (meta) modelos de workflow tenham sido propostos nos últimos, anos, seus sub-modelos para representação dos aspectos estruturais da organização apresentam baixo
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32

Elleuch, Marwa. "Business process discovery from emails, a first step towards business process management in less structured information systems." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS014.

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La fouille de processus vise à analyser les traces d'exécution des systèmes d'information (SI), utilisés dans le cadre des activités métiers, pour découvrir des connaissances sur les processus métiers (PM). D'importants travaux de recherche ont été menés dans ce domaine. Cependant, ils supposent généralement que ces traces d'exécution ont un niveau de structuration élevé. Cela signifie que: (i) ils sont composés d'enregistrements structurés, chacun capturant l'exécution d'une activité, et (ii) une partie des attributs des événements d'exécution (comme le nom de l'activité, l'horodatage) sont e
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Low, Wei Zhe. "Towards cost model-driven log-based business process improvement." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/97727/1/Wei%20Zhe_Low_Thesis.pdf.

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This doctoral study focused on analysing business process execution histories to initiate evidence-based business process improvement activities. The researcher developed techniques to explore and visualise better ways of executing a business process, as well as to analyse the impact of the changes towards cost reduction. This research enables organisations to gain a better understanding of how the same business process can be performed in a more efficient manner, taking into consideration the trade-offs between processing time, cost, and employee utilisation.
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34

Shetty, Bhupesh. "Process pattern mining: identifying sources of assignable error using event logs." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6641.

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This thesis examines the problem of identifying patterns in process event logs that are correlated with binary events that are undetected until the end of the process. Specifically, we consider the task of identifying patterns in a machine shop manufacturing process that are correlated with product defect. We introduce a pattern mining algorithm based on Apriori to identify frequent patterns, and use binary correlation measures to identify patterns associated with elevated defect rate. We design a simulation model to generate synthetic datasets to test our algorithm. We compare the effectivene
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35

Sun, Yaguang [Verfasser], and Bernhard [Akademischer Betreuer] Bauer. "Mining High-Quality Business Process Models from Real-Life Event Logs / Yaguang Sun ; Betreuer: Bernhard Bauer." Augsburg : Universität Augsburg, 2018. http://d-nb.info/115333903X/34.

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García, Oliva Rodrigo Alfonso, and Barrenechea Jesús Javier Santos. "Modelo de evaluación de métricas de control para procesos de negocio utilizando Process Mining." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/653470.

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Este proyecto tiene como objetivo analizar la complejidad de los procesos de negocio en las empresas retail de una forma profunda que en otras técnicas resulta muy difícil o incluso imposible de realizar. Con Process Mining es posible superar esta brecha y eso es lo que queremos demostrar a través de la implementación de un modelo. El proyecto propone un modelo de Process Mining que contemple la presencia de diversas fuentes de información de un proceso logístico en una empresa minorista, así como la aplicación de las tres fases de Process Mining (Descubrimiento, Conformidad y Mejora)
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Taymouri, Farbod. "Light methods for conformance checking of business processes." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/664708.

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Conformance Checking is a new research discipline devoted to identify deviations between business process models and their real executions. Identifying deviations boils down to the notion of alignment conceptually. An alignment quantifies to what degree a process model can imitate what happened in its observed behavior, i.e., an event log. Accordingly, an optimal alignment is the best combination by which the process model can imitate the corresponding observed behavior. The state of the art technique for alignment computation has exponential time and space complexity, hindering its applicab
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38

Marseglia, Matteo Celestino. "Process mining a supporto del service design - il caso di un'azienda di servizi." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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L’utilizzo di tool di Business Process Management(BPM) è realtà in quasi tutte le organizzazioni e la necessità di innovare e dimensionare i processi è un problema sempre più frequente. Questo elaborato ha lo scopo di dimostrare la connessione tra il process mining e il service design. Il process mining (PM) è un tool di BPM che consente di analizzare i processi aziendali partendo dalle informazioni presenti nel sistema informativo. Attraverso il PM si innestano tematiche di Service Design e vengono analizzati e discussi i punti di contatto tra le due discipline. Per provare l’ipotesi che il
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39

Kratsch, Wolfgang [Verfasser], and Maximilian [Akademischer Betreuer] Röglinger. "Data-driven Management of Interconnected Business Processes : Contributions to Predictive and Prescriptive Process Mining / Wolfgang Kratsch ; Betreuer: Maximilian Röglinger." Bayreuth : Universität Bayreuth, 2021. http://d-nb.info/122950544X/34.

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Baier, Thomas, Ciccio Claudio Di, Jan Mendling, and Mathias Weske. "Matching events and activities by integrating behavioral aspects and label analysis." Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/s10270-017-0603-z.

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Nowadays, business processes are increasingly supported by IT services that produce massive amounts of event data during the execution of a process. These event data can be used to analyze the process using process mining techniques to discover the real process, measure conformance to a given process model, or to enhance existing models with performance information. Mapping the produced events to activities of a given process model is essential for conformance checking, annotation and understanding of process mining results. In order to accomplish this mapping with low manual effort, we develo
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41

Rojas, Candio Piero Gilmar, and Pasapera Arturo Alonso Villantoy. "Método de evaluación de variables e indicadores para el proceso de Bloque de Cirugía utilizando Process Mining y Data Visualization." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/655800.

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El Seguro Social de Salud, EsSalud, es un organismo público descentralizado que tiene como finalidad dar cobertura a los asegurados y sus derechohabientes, a través de otorgamiento de diferentes tipos de seguro a la población ante los riesgos humanos [1]. Esta institución brinda atención a un aproximado de 11 millones 493 mil peruanos asegurados, quienes representan un 35,7% de la población total [2], estos asegurados se encuentran concentrados en mayor proporción en edades de 0 a 14 años, de 25 a 44 años y 65 a más [3]. Según la memoria anual realizada en el 2019 por esta institución, muestr
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42

Hansson, Sandra. "Is Self-Service Business Intelligence a hoax? : A descriptive study of casual users’ independence using SSBI in the data mining process." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-106081.

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When using Business Intelligence (BI), organizations can improve decision-making bycompiling, understanding and utilizing the data held by the organization. Self-serviceBusiness Intelligence (SSBI) has emerged as a new focus within BI and aims to make BI tools available to business users, and relieve IT-experts involvement of in ad hoc reporting andanalysis. The aim of this research is to examine challenges of casual users being self-reliant when using SSBI tools, and the way they are using them in the data mining process. This wasdone through a qualitative study, interviewing seven individual
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Rogge-Solti, Andreas. "Probabilistic Estimation of Unobserved Process Events." Phd thesis, Universität Potsdam, 2014. http://opus.kobv.de/ubp/volltexte/2014/7042/.

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Organizations try to gain competitive advantages, and to increase customer satisfaction. To ensure the quality and efficiency of their business processes, they perform business process management. An important part of process management that happens on the daily operational level is process controlling. A prerequisite of controlling is process monitoring, i.e., keeping track of the performed activities in running process instances. Only by process monitoring can business analysts detect delays and react to deviations from the expected or guaranteed performance of a process instance. To enable
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44

Rojas, Candio Piero Gilmar, and Pasapera Arturo Alonso Villantoy. "Método de evaluación de variables e indicadores para el proceso de Bloque de Cirugía utilizando Process Mining y Data Visualization." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/653654.

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El presente trabajo consiste en proponer un método que permita formular y evaluar indicadores de Process Mining a través de preguntas relacionadas al funcionamiento de un proceso y permita comprender de manera sencilla las variables del proceso a través de técnicas de Data Visualization. Esta propuesta identifica cuellos de botella y violaciones de políticas de un proceso crítico en una organización de salud, ya que resulta complicado realizar mediciones y análisis para mejorar la calidad y transformación de los procesos en instituciones de atención en el sector salud. Este resultado contribuy
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45

Namaki, Araghi Sina. "A methodology for business process discovery and diagnosis based on indoor location data : Application to patient pathways improvement." Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2019. http://www.theses.fr/2019EMAC0014.

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Dans chaque organisation, les processus métier sont aujourd’hui incontournables. Cette thèse vise à développer une méthode pour les améliorer. Dans le domaine de la santé, les organisations hospitalières déploient beaucoup d’efforts pour mettre leurs processus sous contrôle, notamment à cause de la très faible marge d’erreur admise. Les parcours des patients au sein des structures de santé constituent l’application qui a été choisie pour démontrer les apports de cette méthode. Elle a pour originalité d’exploiter les données de géolocalisation des patients à l’intérieur de ces structures. Bapti
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46

Assy, Nour. "Automated support of the variability in configurable process models." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLL001/document.

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L'évolution rapide dans les environnements métier d'aujourd'hui impose de nouveaux défis pour la gestion efficace et rentable des processus métiers. Dans un tel environnement très dynamique, la conception des processus métiers devient une tâche fastidieuse, source d'erreurs et coûteuse. Par conséquent, l'adoption d'une approche permettant la réutilisation et l'adaptabilité devient un besoin urgent pour une conception de processus prospère. Les modèles de processus configurables récemment introduits représentent l'une des solutions recherchées permettant une conception de processus par la réuti
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47

Sadeghianasl, Sareh. "The quality guardian: Improving activity label quality in event logs through gamification." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/229543/1/Sareh_Sadeghianasl_Thesis.pdf.

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Data cleaning, the most tedious task of data analysis, can turn into a fun experience when performed through a game. This thesis shows that the use of gamification and crowdsourcing techniques can mitigate the problem of poor quality of process data. The Quality Guardian, a family of gamified systems, is proposed, which exploits the motivational drives of domain experts to engage with the detection and repair of imperfect activity labels in process data. Evaluation of the developed games using real-life data sets and domain experts shows quality improvement as well as a positive user experienc
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48

Dobias, Ondrej. "Dolování procesů jako služba." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-319183.

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Softwérové a hardvérové aplikácie zaznamenávajú veľké množstvo informácií do protokolov udalostí. Každé dva roky sa množstvo zaznamenaných dát viac než zdvojnásobí. Dolovanie procesov je relatívne mladá disciplína, ktorá sa nachádza na rozmedzí strojového učenia a dolovania dát na jednej strane a modelovania a analýzy procesov na druhej strane. Cieľom dolovania procesov je popísať a analyzovať skutočné procesy extrahovaním znalostí z protokolov udalostí, ktoré sú v dnešných aplikáciách bežne dostupné. Táto práca mieri na spojenie obchodných príležitostí (organizácie bohaté na dáta; dopyt po sl
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Nguyen, Ngoc Chan. "Service recommendation for individual and process use." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00789726.

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Web services have been developed as an attractive paradigm for publishing, discovering and consuming services. They are loosely-coupled applications that can be run alone or be composed to create new value-added services. They can be consumed as individual services which provide a unique interface to receive inputs and return outputs; or they can be consumed as components to be integrated into business processes. We call the first consumption case individual use and the second case business process use. The requirement of specific tools to assist consumers in the two service consumption cases
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Assy, Nour. "Automated support of the variability in configurable process models." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLL001.

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L'évolution rapide dans les environnements métier d'aujourd'hui impose de nouveaux défis pour la gestion efficace et rentable des processus métiers. Dans un tel environnement très dynamique, la conception des processus métiers devient une tâche fastidieuse, source d'erreurs et coûteuse. Par conséquent, l'adoption d'une approche permettant la réutilisation et l'adaptabilité devient un besoin urgent pour une conception de processus prospère. Les modèles de processus configurables récemment introduits représentent l'une des solutions recherchées permettant une conception de processus par la réuti
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