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1. 发明授权

US08060782B2 Root cause problem identification through event correlation 有权
标题翻译：通过事件相关的根本原因问题识别
公开(公告)号：US08060782B2
公开(公告)日：2011-11-15
申请号：US12714842
申请日：2010-03-01
申请人： Ziv Caspi , Ron E. Dar Ziv , Yifat Orlin , Alexander Sloutsky , Itai Frenkel
发明人： Ziv Caspi , Ron E. Dar Ziv , Yifat Orlin , Alexander Sloutsky , Itai Frenkel
IPC分类号： G06F11/00
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/0715 , H04L41/064 , H04L41/0686
摘要： Correlating activity events to identify a root cause of a process failure. Activity event data is received from a process executing on a computing device. The activity event data corresponds to a plurality of activity events. Each of the activity events has a correlation identifier, a resolution status, and an occurrence time value associated therewith. Each of the activity events are assigned to one of a plurality of event groups based on the correlation identifier of the activity event. Thereafter, at least one of the event groups is determined to have an activity event with a resolution status indicating failure of the process. One of the activity events within the determined event group is selected as a root cause activity event based on the occurrence time values. In some embodiments, the root cause activity event is identified to a user of the computing device.
摘要翻译：关联活动事件以识别过程失败的根本原因。从在计算设备上执行的进程接收活动事件数据。活动事件数据对应于多个活动事件。每个活动事件具有相关标识符，分辨率状态和与其相关联的发生时间值。基于活动事件的相关标识符，将活动事件分配给多个事件组中的一个。此后，确定事件组中的至少一个具有活动事件，其中解决状态指示过程失败。基于发生时间值，将所确定的事件组中的活动事件之一选择为根本原因活动事件。在一些实施例中，根本原因活动事件被识别给计算设备的用户。

2. 发明申请

US20110214020A1 ROOT CAUSE PROBLEM IDENTIFICATION THROUGH EVENT CORRELATION 有权
标题翻译： ROOT通过事件关联引起问题的识别
公开(公告)号：US20110214020A1
公开(公告)日：2011-09-01
申请号：US12714842
申请日：2010-03-01
申请人： Ziv Caspi , Ron E. Dar Ziv , Yifat Orlin , Alexander Sloutsky , Itai Frenkel
发明人： Ziv Caspi , Ron E. Dar Ziv , Yifat Orlin , Alexander Sloutsky , Itai Frenkel
IPC分类号： G06F11/07
CPC分类号： G06F11/079 , G06F11/0709 , G06F11/0715 , H04L41/064 , H04L41/0686
摘要： Correlating activity events to identify a root cause of a process failure. Activity event data is received from a process executing on a computing device. The activity event data corresponds to a plurality of activity events. Each of the activity events has a correlation identifier, a resolution status, and an occurrence time value associated therewith. Each of the activity events are assigned to one of a plurality of event groups based on the correlation identifier of the activity event. Thereafter, at least one of the event groups is determined to have an activity event with a resolution status indicating failure of the process. One of the activity events within the determined event group is selected as a root cause activity event based on the occurrence time values. In some embodiments, the root cause activity event is identified to a user of the computing device.
摘要翻译：关联活动事件以识别过程失败的根本原因。从在计算设备上执行的进程接收活动事件数据。活动事件数据对应于多个活动事件。每个活动事件具有相关标识符，分辨率状态和与其相关联的发生时间值。基于活动事件的相关标识符，将活动事件分配给多个事件组中的一个。此后，确定事件组中的至少一个具有活动事件，其中解决状态指示过程失败。基于发生时间值，将所确定的事件组中的活动事件之一选择为根本原因活动事件。在一些实施例中，根本原因活动事件被识别给计算设备的用户。

3. 发明授权

US08719236B2 Selecting candidate rows for deduplication 有权
标题翻译：选择重复数据删除的候选行
公开(公告)号：US08719236B2
公开(公告)日：2014-05-06
申请号：US13593508
申请日：2012-08-23
申请人： Yaron Zinar , Efim Hudis , Yifat Orlin , Gal Novik , Yuri Gurevich , Gad Peleg
发明人： Yaron Zinar , Efim Hudis , Yifat Orlin , Gal Novik , Yuri Gurevich , Gad Peleg
IPC分类号： G06F17/30 , G06F3/06
CPC分类号： G06F17/30156 , G06F3/0641 , G06F17/30138 , G06F17/30303
摘要： The present invention extends to methods, systems, and computer program products for selecting candidate records for deduplication from a table. A table can be processed to compute an inverse index for each field of the table. A deduplication algorithm can traverse the inverse indices in accordance with a flexible user-defined policy to identify candidate records for deduplication. Both exact matches and approximate matches can be found.
摘要翻译：本发明扩展到用于从表中选择重复数据删除的候选记录的方法，系统和计算机程序产品。可以处理表以计算表的每个字段的反向索引。重复数据删除算法可以根据灵活的用户定义策略遍历反向索引，以识别重复数据删除的候选记录。可以找到精确匹配和近似匹配。

4. 发明申请

US20140059015A1 SELECTING CANDIDATE ROWS FOR DEDUPLICATION 有权
公开(公告)号：US20140059015A1
公开(公告)日：2014-02-27
申请号：US13593508
申请日：2012-08-23
申请人： Yaron Zinar , Efim Hudis , Yifat Orlin , Gal Novik , Yuri Gurevich , Gad Peleg
发明人： Yaron Zinar , Efim Hudis , Yifat Orlin , Gal Novik , Yuri Gurevich , Gad Peleg
IPC分类号： G06F17/30
CPC分类号： G06F17/30156 , G06F3/0641 , G06F17/30138 , G06F17/30303
摘要： The present invention extends to methods, systems, and computer program products for selecting candidate records for deduplication from a table. A table can be processed to compute an inverse index for each field of the table. A deduplication algorithm can traverse the inverse indices in accordance with a flexible user-defined policy to identify candidate records for deduplication. Both exact matches and approximate matches can be found.

5. 发明申请

US20130117012A1 KNOWLEDGE BASED PARSING 审中-公开
标题翻译：基于知识的分类
公开(公告)号：US20130117012A1
公开(公告)日：2013-05-09
申请号：US13288942
申请日：2011-11-03
申请人： Yifat Orlin , Elad Ziklik , Gal Novik , Neta Haiby , Efim Hudis , Meir Raviv , Joseph I. Malka
发明人： Yifat Orlin , Elad Ziklik , Gal Novik , Neta Haiby , Efim Hudis , Meir Raviv , Joseph I. Malka
IPC分类号： G06F17/27
CPC分类号： G06Q10/00 , G06F17/277
摘要： The subject disclosure generally relates to parsing unstructured data based on knowledge of domains related to the unstructured data. A domain identification component can identify a set of domains related to a term in a data set. An inspection component can identify unmatched words, and unmatched related domains. A correlation component can compare the unmatched words to known values for the unmatched domains, and a manager component can match the unmatched words with the unmatched domains based on the comparison. In addition, combinations of the words can be generated based on a set of predetermined rules, and compared to the unmatched domains. Furthermore, delimiter based parsing can be employed to augment the knowledge based parsing.
摘要翻译：主题公开通常涉及基于与非结构化数据相关的域的知识来解析非结构化数据。域识别组件可以标识与数据集中的术语相关的一组域。检查组件可以识别不匹配的单词和不匹配的相关域。相关分量可以将不匹配的词与未匹配的域的已知值进行比较，并且管理器组件可以基于比较将不匹配的词与不匹配的域进行匹配。此外，可以基于一组预定规则来生成单词的组合，并且与不匹配的域进行比较。此外，可以使用基于分隔符的解析来增加基于知识的解析。

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