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Machine learning solutions for exception handling

Fennis, J. (2019) Machine learning solutions for exception handling.

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Abstract:In this research the possibilities of using machine learning during the exception handling process is examined. The goal is to reduce the number of exceptions, by excluding exceptions on which no action should be taken.
Item Type:Essay (Master)
Clients:
IBM, Amsterdam, Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:54 computer science, 57 mining engineering
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/77555
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