blog.cs.ut.ee/2019/02/11/ilya-verenich-explainable-predictive-monitoring-of-temporal-measures-of-business-processes

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https://blog.cs.ut.ee/2019/02/11/ilya-verenich-explainable-predictive-monitoring-of-temporal-measures-of-business-processes

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

https://blog.cs.ut.ee/2019/02/11/ilya-verenich-explainable-predictive-monitoring-of-temporal-measures-of-business-processes

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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      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
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      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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      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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