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公开(公告)号：US20150205647A1
公开(公告)日：2015-07-23
申请号：US14418307
申请日：2012-10-25
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor： Chetan Kumar Gupta , Craig Peter Sayers , Umeshwar Dayal , Krishnamurthy Viswanathan
CPC classification number: G06F9/542 , G06F9/448 , G06F11/008 , G06F2201/86
Abstract: A method for event correlation includes capturing events and arranging the events sequentially in at least one dimension. An event correlator implemented by a computational device convolves a kernel density function with each of the events to produce a convolved function for each event. Co-occurrences between events are found by calculating overlap between convolved functions.
Abstract translation: 用于事件相关的方法包括捕获事件并且在至少一个维度中顺序排列事件。 由计算设备实现的事件相关器将核心密度函数与每个事件相结合，以产生每个事件的卷积函数。 通过计算卷积函数之间的重叠来发现事件之间的共同事件。
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公开(公告)号：US09465678B2
公开(公告)日：2016-10-11
申请号：US14418307
申请日：2012-10-25
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor： Chetan Kumar Gupta , Craig Peter Sayers , Umeshwar Dayal , Krishnamurthy Viswanathan
CPC classification number: G06F9/542 , G06F9/448 , G06F11/008 , G06F2201/86
Abstract: A method for event correlation includes capturing events and arranging the events sequentially in at least one dimension. An event correlator implemented by a computational device convolves a kernel density function with each of the events to produce a convolved function for each event. Co-occurrences between events are found by calculating overlap between convolved functions.
Abstract translation: 用于事件相关的方法包括捕获事件并且在至少一个维度中顺序排列事件。 由计算设备实现的事件相关器将核心密度函数与每个事件相结合，以产生每个事件的卷积函数。 通过计算卷积函数之间的重叠来发现事件之间的共同事件。
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公开(公告)号：US09063802B2
公开(公告)日：2015-06-23
申请号：US13756126
申请日：2013-01-31
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Krishnamurthy Viswanathan , Chetan Kumar Gupta
CPC classification number: G06F9/542 , G06F11/3072 , G06F17/3061 , G06F2201/835 , G06F2201/86
Abstract: Event determination can include selecting a time lag, calculating a dependency value at the time lag between event pairs within a first textual stream and a second textual stream, and ordering the event pairs based on the dependency value.
Abstract translation: 事件确定可以包括选择时滞，在第一文本流和第二文本流之间的事件对之间的时间滞后计算依赖性值，以及基于依赖性值对事件对进行排序。
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公开(公告)号：US20140215493A1
公开(公告)日：2014-07-31
申请号：US13756126
申请日：2013-01-31
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor： Krishnamurthy Viswanathan , Chetan Kumar Gupta
IPC: G06F9/54
CPC classification number: G06F9/542 , G06F11/3072 , G06F17/3061 , G06F2201/835 , G06F2201/86
Abstract: Event determination can include selecting a time lag, calculating a dependency value at the time lag between event pairs within a first textual stream and a second textual stream, and ordering the event pairs based on the dependency value.
Abstract translation: 事件确定可以包括选择时滞，在第一文本流和第二文本流之间的事件对之间的时间滞后计算依赖性值，以及基于依赖性值对事件对进行排序。
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