公开(公告)号：US08468161B2

公开(公告)日：2013-06-18

申请号：US13259020

申请日：2009-07-14

申请人： Ira Cohen ,  Kobi Eisenberg ,  Liat Ashkenazi ,  Avishai Krepel ,  Marina Lyan ,  Michael Rozman

发明人： Ira Cohen ,  Kobi Eisenberg ,  Liat Ashkenazi ,  Avishai Krepel ,  Marina Lyan ,  Michael Rozman

IPC分类号： G06F17/30

CPC分类号： G06F17/18 ,  G06F17/30551 ,  G06Q10/04

摘要： To determine a seasonal effect in temporal data, for each of a plurality of candidate seasons, the following is performed. An interval is defined for the corresponding candidate season. The interval is divided into plural buckets containing respective sets of the temporal data, and statistical measures for corresponding buckets are computed. The computed statistical measures are used to compute a score for the corresponding candidate season. Scores computed for corresponding candidate seasons are used for identifying which of the candidate seasons represents the seasonal effect of the temporal data.

摘要翻译： 为了确定时间数据中的季节性影响，对于多个候选季节中的每一个，执行以下操作。 为相应的候选季节定义间隔。 间隔被分成包含各组时间数据的多个桶，并且计算相应桶的统计量度。 计算的统计学方法用于计算相应候选季节的得分。 用于相应候选季节计算的分数用于确定哪些候选季节代表时间数据的季节效应。

公开(公告)号：US20130282331A1

公开(公告)日：2013-10-24

申请号：US13454572

申请日：2012-04-24

申请人： Ira Cohen ,  Marina Lyan ,  Oded Gazit ,  Ohad Assulin ,  Michael Rozman

发明人： Ira Cohen ,  Marina Lyan ,  Oded Gazit ,  Ohad Assulin ,  Michael Rozman

IPC分类号： G06F17/18

CPC分类号： G06F17/18 ,  H04L41/5006 ,  H04L43/16

摘要： Systems, methods, and machine-readable and executable instructions are provided for detecting abnormal behavior. Detecting abnormal behavior can include receiving a mean at a previous time interval, a sum of squares at the previous time interval, and a first sample of a metric at a current time interval from a system and adjusting a first weight and a second weight at the current time interval to the first sample and a system change report. Detecting abnormal behavior can also include calculating a mean and a standard deviation of the metric at the current time interval by assigning the first sample the adjusted first weight and by assigning the mean and the sum of squares at a previous time interval the adjusted second weight and detecting abnormal behavior by comparing the first sample to an outlier value based on the mean and the standard deviation at the previous time interval.

摘要翻译： 提供系统，方法和机器可读和可执行指令来检测异常行为。 检测异常行为可以包括以前一时间间隔接收平均值，在前一时间间隔处的平方和以及来自系统的当前时间间隔的度量的第一样本，并且调整第一权重和第二权重 第一个样本的当前时间间隔和系统更改报告。 检测异常行为还可以包括通过将第一样本分配给调整的第一权重并通过在之前的时间间隔分配平均值和平方和来计算当前时间间隔上的度量的平均值和标准偏差， 通过基于前一时间间隔的平均值和标准偏差，比较第一个样本与异常值，检测异常行为。

公开(公告)号：US20120016886A1

公开(公告)日：2012-01-19

申请号：US13259020

申请日：2009-07-14

申请人： Ira Cohen ,  Kobi Eisenberg ,  Liat Ashkenazi ,  Avishai Krepel ,  Marina Lyan ,  Michael Rozman

发明人： Ira Cohen ,  Kobi Eisenberg ,  Liat Ashkenazi ,  Avishai Krepel ,  Marina Lyan ,  Michael Rozman

IPC分类号： G06F17/30

CPC分类号： G06F17/18 ,  G06F17/30551 ,  G06Q10/04

摘要： To determine a seasonal effect in temporal data, for each of a plurality of candidate seasons, the following is performed. An interval is defined for the corresponding candidate season. The interval is divided (108) into plural buckets containing respective sets of the temporal data, and statistical measures for corresponding buckets are computed. The computed statistical measures are used to compute (112) a score for the corresponding candidate season. Scores computed for corresponding candidate seasons are used for identifying which of the candidate seasons represents the seasonal effect of the temporal data.

摘要翻译： 为了确定时间数据中的季节性影响，对于多个候选季节中的每一个，执行以下操作。 为相应的候选季节定义间隔。 间隔被分成（108）到包含各组时间数据的多个桶中，并且计算相应桶的统计量度。 计算的统计测量用于计算（112）相应候选季节的得分。 用于相应候选季节计算的分数用于确定哪些候选季节代表时间数据的季节效应。