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Utilization of semi-supervised machine learning for policy self-adjustment in computer infrastructure management
Utilization of semi-supervised machine learning for policy self-adjustment in computer infrastructure management
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机译：利用半监督机器学习进行计算机基础结构管理中的策略自调整
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摘要
Embodiments relate to a method for managing and analyzing a computer environment. The method includes receiving, by the host device, a set of data elements from at least one computer environment resource of the computer infrastructure, each data element of the set of data elements relating to an attribute of the at least one computer environment resource. The method includes applying a system analysis function to the set of data elements to characterize a dataset specification associated with the set of data elements. The method includes receiving, by the host device, a user-selected policy threshold criterion based on the dataset specification and providing the user-selected policy threshold criterion to the semi-supervised learning algorithm as a parameter. The method includes adjusting a boundary of the dataset specification of the set of data elements, as associated with the user-selected policy threshold criterion, based on a behavioral change of the computer infrastructure.
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