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Читать далееThe chair studies data mining (DM) techniques and knowledge discovery approaches that are at the core of data science. The group is known for its contributions to the areas of predictive analytics, automation of machine learning and networked science, subgroup discovery and exceptional model mining, and similarity computations on complex data.
Читать далееYou will work in the Process Analytics research group (https://pa.win.tue.nl/) that is conducting world process mining research and located at the birthplace of process mining as research field. Your work will contribute to theory and methods in process mining, but you will also implement solutions in our tools such as the ProM framework ...
Читать далееThe basic idea of process mining is to extract knowledge from event logs recorded by an information system. Until recently, the information in these event logs was rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and ...
Читать далееSep 25, 2020 · In the context of the “Process Mining in Logistics” research project between Vanderlande Industries, we are offering multiple Master projects on process mining on event data of large-scale material handling systems.
Читать далееSep 1, 2020 · Foundations of Process Mining. Mathematics and Computer Science; Course. Description No description. Course period: 1/09/20 → ...
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Читать далееSep 1, 2020 · The first part of this advanced course on process mining teaches students theoretical foundations and the state-of-the-art in process mining along complete process mining and process prediction methodologies. In the second part you can choose one of multiple specialization tracks on analyzing multi-dimensional event data (in databases ...
Читать далееSep 1, 2023 · The chair studies data mining (DM) techniques and knowledge discovery approaches that are at the core of data science. The group is known for its contributions to the areas of predictive analytics, automation of machine learning and networked science, subgroup discovery and exceptional model mining, and similarity computations on …
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