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Ilya Verenich: Explainable Predictive Monitoring of Temporal Measures of Business Processes - UniTartuCS blog
Institute of Computer Science PhD student Ilya Verenich defended his thesis on February 11. Here is an overview of his work. Context. Modern enterprise systems collect a lot of data about the execution of the business processes they support. The widespread availability of such data in companies, combined with advances in machine learning, have led
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Ilya Verenich: Explainable Predictive Monitoring of Temporal Measures of Business Processes - UniTartuCS blog
Institute of Computer Science PhD student Ilya Verenich defended his thesis on February 11. Here is an overview of his work. Context. Modern enterprise systems collect a lot of data about the execution of the business processes they support. The widespread availability of such data in companies, combined with advances in machine learning, have led
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Ilya Verenich: Explainable Predictive Monitoring of Temporal Measures of Business Processes - UniTartuCS blog
Institute of Computer Science PhD student Ilya Verenich defended his thesis on February 11. Here is an overview of his work. Context. Modern enterprise systems collect a lot of data about the execution of the business processes they support. The widespread availability of such data in companies, combined with advances in machine learning, have led
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- og:descriptionInstitute of Computer Science PhD student Ilya Verenich defended his thesis on February 11. Here is an overview of his work. Context. Modern enterprise systems collect a lot of data about the execution of the business processes they support. The widespread availability of such data in companies, combined with advances in machine learning, have led
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