Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 25 for “"process mining"”.
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Process mining auf Basis expliziter Semantikdefinitionen
Business Process Management wird als wichtige Strategie angesehen um Geschäftsprozesse zu kontrollieren und zu verbessern [1]. Eine zentrale Phase dabei ist das Modellieren der Prozesse, was im Allgemeinen sehr kostenintensiv und zeitaufwändig ist. Aus diesen Gründen ist man stets auf der Suche …
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Process Mining Applications for Corporate Process Excellence
… citizens’ needs. In such a context, governing processes is fundamental: Process Mining (PM) represents a valuable tool to provide organizations with an increased process transparency that supports the decision-making process regarding a variety of organizational choices. Due to its …
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Ein Process Mining-Rahmenwerk für agile, personenbezogene Prozesse
… automatisch durch Berücksichtigung der Regeln. Process Discovery bezeichnet das Sammeln von Informationen über einen Prozess und deren strukturierte Abbildung in einem Prozessmodell. Die Akquisition des Prozesswissens ist ein aufwändiges Unterfangen. Ein Ansatz zur Unterstützung und …
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Towards Process Mining with Natural Language Event Logs
Process mining is a well-established discipline concerned with extracting knowledge from process event logs, enabling analysis and improvement of business processes. Common use cases include process discovery, where process flow models are generated; conformance checking, where actual processes are …
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PROCESS MINING FOR REENGINEERING CIRCULAR AND RESILIENT PRODUCTION PROCESSES
This thesis explores the integration of process mining techniques with deep learning models to enhance the understanding, analysis, and optimization of complex business processes. Process mining bridges the gap between model-driven and data-driven approaches through a set of techniques that extract …
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The value of process mining in strategic-decision making
Process mining is becoming a popular big data analytics and artificial intelligence tool in business today as a result of technological advancements being accelerated by digitalization. Fast process adaptation to keep up with the pace of the quickly evolving business environment, however, is a …
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Leveraging Process Mining and Deep Learning to Improve Health and Safety Outcome Predictive Models
… in predictive modeling across three key domains: process optimization, healthcare, and occupational safety. The first contribution introduces the Adjacency Matrix Deep Learning Prediction (AXDP) Model, which combines graph theory and deep learning to forecast sequential events. AXDP demonstrated …
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META LEARNING IN PROCESS MINING: TOWARD A SYSTEMATIC APPROACH TO DESIGN DATA ANALYTICS PIPELINES WITH EVENT LOGS
… activities performed within their business processes. The event data describes the actual process performance along with several possible attributes. Process mining stands as a set of techniques that leverage insights from event data. With that, organizations can employ process mining-based …
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Business Process Mining in der Schweizerischen Nationalbank: Erarbeitung eines theoretisch hergeleiteten und empirisch validierten Bezugsrahmens zur Daten- und Ereignisprotokollqualität
Business Process Mining (BPM) allows reconstructing and analyzing process models based on log data and may become important for the Swiss National Bank (SNB) when implementing future strategic and operational initiatives. The author reviews the relevant literature which shows that BPM has been …
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Análisis de eventos para evaluar competencias en experiencias de aprendizaje basadas en serious games
… analysis, las técnicas de minerı́a de procesos (process mining) permiten extraer conocimiento de registros de eventos de manera automática. Process mining ha sido aplicada de forma exitosa en múltiples entornos educativos, acuñando un término propio para este tipo de aplicaciones: Educational …
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Matching events and activities
Nowadays, business processes are increasingly supported by IT services that produce massive amounts of event data during process execution. Aiming at a better process understanding and improvement, this event data can be used to analyze processes using process mining techniques. Process models can …
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A framework for quality improvement and evaluation of a clinical decision support system in NICU environment in cross-cultural settings.
… to design a structured study to improve clinical process and outcomes in healthcare. This thesis presents a framework for quality improvement and evaluation of a clinical decision support system in cross-cultural settings. The framework extends a SPO model to a SPOE model, combines with the …
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Data-Driven Simulation Modeling of Construction and Infrastructure Operations Using Process Knowledge Discovery
… is a decision making tool that can benefit the process of design, control, and management of construction operations. Despite recent advancements, most DES models used in construction are created during the early planning and design stage when the lack of factual information from the project …
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Development and evaluation of cognitive risk and regulatory compliance management strategies for financial institutions.
… compliance management activities and business processes of financial institutions can be improved by utilizing cognitive computing technologies. At first, a systemic literature review, expert interviews as well as a survey were carried out with the aim to identify the main fields of action for …
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Visualisation of Mental Health Community Service Patient Pathways
… explores the combined use of Clustering and Process Mining techniques to examine patient pathways following referrals to a Community Mental Health Team (CMHT) under Cardiff and Vale University Health Board (CVUHB) for Secondary Mental Health Care. The primary objective is to cluster cases to …
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A data-driven approach to continuous improvement in reverse logistics
… in order to have a successful partnership, the process must be economical for the 3PL. As several sources of variation are detrimental to the 3PL's margins and cause operational problems, Verizon is investing in the supplier relationship to ensure that the 3PL is profitable and positioned for …
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