公开(公告)号：WO2014052254A1

公开(公告)日：2014-04-03

申请号：PCT/US2013/061272

申请日：2013-09-24

Applicant: DELL SOFTWARE INC.

Inventor： SOLOMON, Oren, Tibi ,  KALUSH, Israel

IPC: G06F15/18 ,  G06Q10/04

CPC classification number: G06Q10/06312 ,  G06N5/02

Abstract: In one embodiment, a method includes identifying a plurality of period combinations for a metric of interest. Each period combination comprises one or more time periods and each of the one or more time periods comprises one or more segments. The method further includes, for each period combination of the plurality of period combinations and each historical value of a plurality of historical values of the metric of interest, incrementally inserting the historical value into corresponding segments of the one or more time periods. Moreover, the method includes ranking the plurality of period combinations based on comparisons of the plurality of historical values to sets of corresponding predicted values. The method also includes selecting a highest-ranked period combination as best characterizing the metric of interest.

Abstract translation: 在一个实施例中，一种方法包括识别感兴趣度量的多个周期组合。 每个周期组合包括一个或多个时间段，并且一个或多个时间段中的每一个包括一个或多个段。 所述方法还包括对于所述多个周期组合的每个周期组合以及所述关注度量的多个历史值的每个历史值，将所述历史值逐渐地插入所述一个或多个时间段的对应段中。 此外，该方法包括基于多个历史值与相应预测值的集合的比较对多个周期组合进行排序。 该方法还包括选择最高排名的周期组合，以最好地表征感兴趣的度量。

公开(公告)号：EP2901309A1

公开(公告)日：2015-08-05

申请号：EP13840801.8

申请日：2013-09-24

Applicant: Dell Software Inc.

Inventor： SOLOMON, Oren, Tibi ,  KALUSH, Israel

IPC: G06F15/18 ,  G06Q10/04

CPC classification number: G06Q10/06312 ,  G06N5/02

Abstract: In one embodiment, a method includes identifying a plurality of period combinations for a metric of interest. Each period combination comprises one or more time periods and each of the one or more time periods comprises one or more segments. The method further includes, for each period combination of the plurality of period combinations and each historical value of a plurality of historical values of the metric of interest, incrementally inserting the historical value into corresponding segments of the one or more time periods. Moreover, the method includes ranking the plurality of period combinations based on comparisons of the plurality of historical values to sets of corresponding predicted values. The method also includes selecting a highest-ranked period combination as best characterizing the metric of interest.