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1. 发明授权

US07461044B2 It resource event situation classification and semantics 失效
标题翻译：资源事件情境分类和语义
公开(公告)号：US07461044B2
公开(公告)日：2008-12-02
申请号：US11117151
申请日：2005-04-27
申请人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
发明人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
IPC分类号： G06F17/21 , G06F7/08
CPC分类号： G06F9/542
摘要： Classifying a message includes receiving a message to be classified, wherein the message includes a message identifier. If the message identifier uniquely maps to a corresponding classification category, the message is labeled with the identified classification category. If the message identifier does not map directly to a corresponding classification category, the message to be classified is parsed and a plurality of features from the parsed message are identified, wherein at least one classification rule is compared to the plurality of features. Each classification rule that matches to the plurality of features is rated and a classification category is identified from the rating, wherein the message is labeled with the identified classification category.
摘要翻译：分类消息包括接收要分类的消息，其中消息包括消息标识符。如果消息标识符唯一映射到相应的分类类别，则该消息用所标识的分类类别标记。如果消息标识符不直接映射到对应的分类类别，则解析要分类的消息，并且识别来自解析消息的多个特征，其中至少一个分类规则与多个特征进行比较。对与多个特征相匹配的每个分类规则进行评级，并从评级中识别分类类别，其中该消息用所标识的分类类别标记。

2. 发明申请

US20090006298A1 IT RESOURCE EVENT SITUATION CLASSIFICATION AND SEMANTICS 失效
标题翻译：资源活动情况分类和语义
公开(公告)号：US20090006298A1
公开(公告)日：2009-01-01
申请号：US12205722
申请日：2008-09-05
申请人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
发明人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
IPC分类号： G06N5/02
CPC分类号： G06F9/542
摘要： An off-line knowledge acquisition process takes IT resource messages and automatically generates a set of rules used to provide situation categories for the resource messages/events. The off-line knowledge acquisition process generates an event-to-situation mapping file for efficiently mapping situation to events in runtime. Rules are fed back into a knowledge repository and process for reuse. The off-line knowledge acquisition process provides methods to reiterate the process of mining (autonomically and/or by human interaction) to improve the rules and confidence level assigning the situation categories. A runtime categorizer component uses the event-to-situation mapping file to add situation categories to the IT resource events. The runtime categorizer uses a plurality of annotator components each capable of adding a situation annotation to incoming messages based on rules generated by the off-line knowledge acquisition process. An assessment component chooses the best situation category from those annotated by the annotator components.
摘要翻译：离线知识获取过程需要IT资源消息，并自动生成用于为资源消息/事件提供情境类别的一组规则。离线知识获取过程生成事件到状态映射文件，用于有效地将情况映射到运行时的事件。规则被反馈到知识库和进程中进行重用。离线知识获取过程提供了重新开采（自主和/或人类交互）过程的方法，以改进分配情境类别的规则和置信水平。运行时分类器组件使用事件到情境映射文件将情况类别添加到IT资源事件。运行时分类器使用多个注释器组件，每个注释器组件能够基于由离线知识获取过程生成的规则向入局消息添加情境注释。评估组件从注释器组件注释的组件中选择最佳情境类别。

3. 发明授权

US07895137B2 Rules generation for IT resource event situation classification 失效
标题翻译： IT资源事件状况分类规则生成
公开(公告)号：US07895137B2
公开(公告)日：2011-02-22
申请号：US12505212
申请日：2009-07-17
申请人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
发明人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
IPC分类号： G06F15/18 , G06F17/30 , G06K9/00
CPC分类号： G06F9/542
摘要： A computer processing device receives computer readable data to derive computer executable rules for mining and constructing situation categories. The received data is transformed into a predetermined standard format if the received data is not already in the predetermined standard format. The predetermined standard formatted data is parsed, and an outer, iterative loop is performed until at least one predetermined stopping criterion is met. An inner iterative loop is performed within the outer iterative loop until all desired subsets of data are processed. During the inner iterative loop, selected subsets of data are labeled with labels associated with corresponding previously labeled subsets of data. New computer executable rules are generated for mining and constructing situation categories from the labeled subsets of data. Keyword list classifiers are transformed using the stored labeled subsets of data.
摘要翻译：计算机处理设备接收计算机可读数据以获得用于挖掘和构建情境类别的计算机可执行规则。如果接收到的数据不是预定的标准格式，则所接收的数据被转换成预定的标准格式。对预定的标准格式化数据进行解析，并且执行外部迭代循环，直到满足至少一个预定停止标准。在外部迭代循环中执行内部迭代循环，直到处理所有期望的数据子集。在内部迭代循环中，所选择的数据子集用与先前标记的数据子集相关联的标签标记。生成新的计算机可执行规则，用于从标记的数据子集中挖掘和构建情境类别。使用存储的标记的数据子集来转换关键字列表分类器。

4. 发明授权

US07730007B2 IT event data classifier configured to label messages if message identifiers map directly to classification categories or parse for feature extraction if message identifiers do not map directly to classification categories 失效
标题翻译：如果邮件标识符不直接映射到分类类别，则IT事件数据分类器被配置为标记消息，如果消息标识符直接映射到分类类别或解析特征提取
公开(公告)号：US07730007B2
公开(公告)日：2010-06-01
申请号：US12205722
申请日：2008-09-05
申请人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
发明人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
IPC分类号： G06F17/21 , G06F17/27 , G06F7/76
CPC分类号： G06F9/542
摘要： An off-line knowledge acquisition process takes IT resource messages and automatically generates a set of rules used to provide situation categories for the resource messages/events. The off-line knowledge acquisition process generates an event-to-situation mapping file for efficiently mapping situation to events in runtime. Rules are fed back into a knowledge repository and process for reuse. The off-line knowledge acquisition process provides methods to reiterate the process of mining (autonomically and/or by human interaction) to improve the rules and confidence level assigning the situation categories. A runtime categorizer component uses the event-to-situation mapping file to add situation categories to the IT resource events. The runtime categorizer uses a plurality of annotator components each capable of adding a situation annotation to incoming messages based on rules generated by the off-line knowledge acquisition process. An assessment component chooses the best situation category from those annotated by the annotator components.
摘要翻译：离线知识获取过程需要IT资源消息，并自动生成用于为资源消息/事件提供情境类别的一组规则。离线知识获取过程生成事件到状态映射文件，用于有效地将情况映射到运行时的事件。规则被反馈到知识库和进程中进行重用。离线知识获取过程提供了重新开采（自主和/或人类交互）过程的方法，以改进分配情境类别的规则和置信水平。运行时分类器组件使用事件到情境映射文件将情况类别添加到IT资源事件。运行时分类器使用多个注释器组件，每个注释器组件能够基于由离线知识获取过程生成的规则向入局消息添加情境注释。评估组件从注释器组件注释的组件中选择最佳情境类别。

5. 发明申请

US20090276383A1 RULES GENERATION FOR IT RESOURCE EVENT SITUATION CLASSIFICATION 失效
标题翻译：资源事件状况分类规则生成
公开(公告)号：US20090276383A1
公开(公告)日：2009-11-05
申请号：US12505212
申请日：2009-07-17
申请人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
发明人： Abdolreza Salahshour , Ma Sheng , David Matthew Loewenstern , Kevin Gordon Minerley
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06F9/542
摘要： A computer processing device receives computer readable data to derive computer executable rules for mining and constructing situation categories. The received data is transformed into a predetermined standard format if the received data is not already in the predetermined standard format. The predetermined standard formatted data is parsed, and an outer, iterative loop is performed until at least one predetermined stopping criterion is met. An inner iterative loop is performed within the outer iterative loop until all desired subsets of data are processed. During the inner iterative loop, selected subsets of data are labeled with labels associated with corresponding previously labeled subsets of data. New computer executable rules are generated for mining and constructing situation categories from the labeled subsets of data. Keyword list classifiers are transformed using the stored labeled subsets of data.
摘要翻译：计算机处理设备接收计算机可读数据以获得用于挖掘和构建情境类别的计算机可执行规则。如果接收到的数据不是预定的标准格式，则所接收的数据被转换成预定的标准格式。对预定的标准格式化数据进行解析，并且执行外部迭代循环，直到满足至少一个预定停止标准。在外部迭代循环中执行内部迭代循环，直到处理所有期望的数据子集。在内部迭代循环中，所选择的数据子集用与相应的先前标记的数据子集相关联的标签来标记。生成新的计算机可执行规则，用于从标记的数据子集中挖掘和构建情境类别。使用存储的标记的数据子集来转换关键字列表分类器。

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