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1. 发明申请

US20050228789A1 Identifying exceptional managed systems 有权
标题翻译：识别异常管理系统
公开(公告)号：US20050228789A1
公开(公告)日：2005-10-13
申请号：US10822066
申请日：2004-04-08
申请人： Tom Fawcett , George Forman , Henri Suermondt
发明人： Tom Fawcett , George Forman , Henri Suermondt
IPC分类号： G06F17/30
CPC分类号： G06N99/005 , Y10S707/99933
摘要： A method is provided for the identification of managed systems that are exceptional compared to comparable managed systems. The method involves selecting a set of managed systems wherein each managed system has a number of system configuration attributes and selecting a set of parameterizations relating to the managed systems. Patterns are determined for the parameterizations within the set of managed systems using a supervised machine learning algorithm. The managed systems are compared to the patterns and any managed systems that deviate from the patterns are isolated as exceptional managed systems. Isolated systems may be targeted for remedial action such as the allocation of support resources or system management resources.
摘要翻译：提供了一种用于识别与可比管理系统相比是特殊的管理系统的方法。该方法涉及选择一组被管理系统，其中每个被管理系统具有多个系统配置属性并且选择一组与被管理系统有关的参数化。使用监督机器学习算法确定在该组管理系统内的参数化的模式。将受管系统与模式进行比较，并且与模式偏离的任何受管系统作为异常管理系统进行隔离。隔离系统可能针对补救措施，如分配支持资源或系统管理资源。

2. 发明授权

US07640217B2 Identifying exceptional managed systems 有权
标题翻译：识别异常管理系统
公开(公告)号：US07640217B2
公开(公告)日：2009-12-29
申请号：US10822066
申请日：2004-04-08
申请人： Tom Fawcett , George H. Forman , Henri Jacques Suermondt
发明人： Tom Fawcett , George H. Forman , Henri Jacques Suermondt
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , Y10S707/99933
摘要： A method is provided for the identification of managed systems that are exceptional compared to comparable managed systems. The method involves selecting a set of managed systems wherein each managed system has a number of system configuration attributes and selecting a set of parameterizations relating to the managed systems. Patterns are determined for the parameterizations within the set of managed systems using a supervised machine learning algorithm. The managed systems are compared to the patterns and any managed systems that deviate from the patterns are isolated as exceptional managed systems. Isolated systems may be targeted for remedial action such as the allocation of support resources or system management resources.
摘要翻译：提供了一种用于识别与可比管理系统相比是特殊的管理系统的方法。该方法涉及选择一组被管理系统，其中每个被管理系统具有多个系统配置属性并且选择一组与被管理系统有关的参数化。使用监督机器学习算法确定在该组管理系统内的参数化的模式。将受管系统与模式进行比较，并且与模式偏离的任何受管系统作为异常管理系统进行隔离。隔离系统可能针对补救措施，如分配支持资源或系统管理资源。

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