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公开(公告)号：US10439595B2
公开(公告)日：2019-10-08
申请号：US15990050
申请日：2018-05-25
IPC分类号： H03H21/00 , G06F7/24 , G06F17/17 , G06F16/25 , G06F16/2457 , G06Q10/00 , G06Q10/06 , G06Q30/02
摘要： A customizable data aggregating, data sorting, and data transformation system is disclosed. In particular, the system may allow for the application of various filters to a sample of data corresponding to various measurables associated with objects. A mean and standard deviation for each of the measurables in the filtered sample of data may be calculated and may be utilized in determining z-scores for a first set of raw measurements corresponding to the measurables. Once the z-scores for the first set of raw measurements are determined, selected weights may be applied to each of the z-scores to determine a weighted z-score for each of the measurables in the first set. Each weighted z-score may then be aggregated to generate a score for an object associated with the first set. The score for the object may be utilized to rank the object relative to other objects in the filtered sample of data.
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公开(公告)号：US20180278242A1
公开(公告)日：2018-09-27
申请号：US15990050
申请日：2018-05-25
CPC分类号： H03H21/0012 , G06F7/24 , G06F16/24578 , G06F16/258 , G06F17/17 , G06Q10/00 , G06Q10/06 , G06Q30/0282
摘要： A customizable data aggregating, data sorting, and data transformation system is disclosed. In particular, the system may allow for the application of various filters to a sample of data corresponding to various measurables associated with objects. A mean and standard deviation for each of the measurables in the filtered sample of data may be calculated and may be utilized in determining z-scores for a first set of raw measurements corresponding to the measurables. Once the z-scores for the first set of raw measurements are determined, selected weights may be applied to each of the z-scores to determine a weighted z-score for each of the measurables in the first set. Each weighted z-score may then be aggregated to generate a score for an object associated with the first set. The score for the object may be utilized to rank the object relative to other objects in the filtered sample of data.
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公开(公告)号：US09985609B2
公开(公告)日：2018-05-29
申请号：US15401711
申请日：2017-01-09
CPC分类号： H03H21/0012 , G06F7/24 , G06F17/17 , G06F17/3053 , G06F17/30569 , G06Q10/00
摘要： A customizable data aggregating, data sorting, and data transformation system is disclosed. In particular, the system may allow for the application of various filters to a sample of data corresponding to various measurables associated with objects. A mean and standard deviation for each of the measurables in the filtered sample of data may be calculated and may be utilized in determining z-scores for a first set of raw measurements corresponding to the measurables. Once the z-scores for the first set of raw measurements are determined, selected weights may be applied to each of the z-scores to determine a weighted z-score for each of the measurables in the first set. Each weighted z-score may then be aggregated to generate a score for an object associated with the first set. The score for the object may be utilized to rank the object relative to other objects in the filtered sample of data.
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公开(公告)号：US20170201237A1
公开(公告)日：2017-07-13
申请号：US15401711
申请日：2017-01-09
CPC分类号： H03H21/0012 , G06F7/24 , G06F17/17 , G06F17/3053 , G06F17/30569 , G06Q10/00
摘要： A customizable data aggregating, data sorting, and data transformation system is disclosed. In particular, the system may allow for the application of various filters to a sample of data corresponding to various measurables associated with objects. A mean and standard deviation for each of the measurables in the filtered sample of data may be calculated and may be utilized in determining z-scores for a first set of raw measurements corresponding to the measurables. Once the z-scores for the first set of raw measurements are determined, selected weights may be applied to each of the z-scores to determine a weighted z-score for each of the measurables in the first set. Each weighted z-score may then be aggregated to generate a score for an object associated with the first set. The score for the object may be utilized to rank the object relative to other objects in the filtered sample of data.
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