Patent search ap:("Amazon Technologies Page Inc.") AND inv:"Mark Christopher Veronda"

1.

发明授权
Data estimation 有权

公开(公告)号：US10387785B1

公开(公告)日：2019-08-20

申请号：US15473455

申请日：2017-03-29

Applicant: Amazon Technologies, Inc.

Inventor： Muhammad Ali Siddiqui , Charles Graham Haver Crissman , Sanjeev Kewal Verma , Mark Christopher Veronda

IPC: G06F15/18 , G06N5/04 , G06F17/11 , G06F17/18

Abstract: A method is provided for estimating past data by identifying a high frequency data set for a defined time period. A pattern is calculated for the high frequency data set and then the pattern is applied to a low frequency data set in a past time period to estimate a high frequency query point.

2.

发明授权
Data estimation for storing correlated patterns of high frequency data sets 有权

公开(公告)号：US09619752B1

公开(公告)日：2017-04-11

申请号：US14818176

申请日：2015-08-04

Applicant: Amazon Technologies, Inc.

Inventor： Muhammad Ali Siddiqui , Charles Graham Haver Crissman , Sanjeev Kewal Verma , Mark Christopher Veronda

IPC: G06F15/18 , G06N5/04

CPC classification number: G06N5/047 , G06F3/0652 , G06F17/18

Abstract: A method is provided for estimating past data by identifying a high frequency data set for a defined time period. A pattern is calculated for the high frequency data set and then the pattern is applied to a low frequency data set in a past time period to estimate a high frequency query point.

3.

发明授权
Data estimation of historical data that identifies fine grained time period data and coarse grained time period data and applies correlated slopes to time periods 有权
Title translation: 用于识别细粒度时间段数据和粗粒时间周期数据的历史数据的数据估计，并将相关斜率应用于时间段

公开(公告)号：US09104964B1

公开(公告)日：2015-08-11

申请号：US13679890

申请日：2012-11-16

Applicant: Amazon Technologies, Inc.

Inventor： Muhammad Ali Siddiqui , Charles Graham Haver Crissman , Sanjeev Kewal Verma , Mark Christopher Veronda

IPC: G06F15/18 , G06N5/02 , G06F3/06

CPC classification number: G06N5/047 , G06F3/0652 , G06F17/18

Abstract: A method is provided for estimating past data by identifying a high frequency data set for a defined time period. A pattern is calculated for the high frequency data set and then the pattern is applied to a low frequency data set in a past time period to estimate a high frequency query point.

Abstract translation: 提供了一种用于通过在确定的时间段内识别高频数据集来估计过去数据的方法。计算出高频数据集的模式，然后将模式应用于过去时间段内的低频数据集，以估计高频查询点。

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