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1. 发明授权

US07492938B2 Methods and systems for creating data samples for data analysis 有权
标题翻译：用于创建用于数据分析的数据样本的方法和系统
公开(公告)号：US07492938B2
公开(公告)日：2009-02-17
申请号：US11674968
申请日：2007-02-14
申请人： Robert M. Brinson, Jr. , Nicholas Levi Middleton , William K. Naguszewski , Bryan Glenn Donaldson , Robert Leon Bass, II
发明人： Robert M. Brinson, Jr. , Nicholas Levi Middleton , William K. Naguszewski , Bryan Glenn Donaldson , Robert Leon Bass, II
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T2207/30004
摘要： Systems and methods for creating data samples for data analysis. The method includes imaging at least a portion of a first object having a target portion to generate a first image, analyzing the first image by running a first series of algorithms using the first image to generate a first algorithm value cache, removing the target portion from the first object to form a modified first object, imaging at least a portion of the modified first object to generate a second image, analyzing the second image by running the first series of algorithms using the second image to generate a second algorithm value cache, generating a transformed result by running a subtraction process using the first algorithm value cache and the second algorithm value cache, and storing the transformed result in a knowledge base.
摘要翻译：用于创建数据分析数据样本的系统和方法。该方法包括对具有目标部分的第一对象的至少一部分成像以产生第一图像，通过使用第一图像运行第一系列算法来分析第一图像以生成第一算法值高速缓存，从第形成修改的第一对象的第一对象，对经修改的第一对象的至少一部分进行成像以生成第二图像，通过使用第二图像运行第一系列算法来分析第二图像以生成第二算法值高速缓存，生成通过使用第一算法值缓存和第二算法值缓存运行减法处理并将转换的结果存储在知识库中来进行变换结果。

2. 发明授权

US08175992B2 Methods and systems for compound feature creation, processing, and identification in conjunction with a data analysis and feature recognition system wherein hit weights are summed 有权
标题翻译：结合数据分析和特征识别系统的复合特征创建，处理和识别的方法和系统，其中命中权重相加
公开(公告)号：US08175992B2
公开(公告)日：2012-05-08
申请号：US12405993
申请日：2009-03-17
申请人： Robert Leon Bass, II , Bryan Glenn Donaldson , Nicholas Levi Middleton , Robert M. Brinson, Jr.
发明人： Robert Leon Bass, II , Bryan Glenn Donaldson , Nicholas Levi Middleton , Robert M. Brinson, Jr.
IPC分类号： G06F17/00
CPC分类号： G06K9/626 , G06K9/0063
摘要： Methods and systems for creation, processing, and use of compound features during data analysis and feature recognition are disclosed herein. In a preferred embodiment, the present invention functions to apply a new level of data discrimination during data analysis and feature recognition events such that features are more easily discerned from the remainder of the data pool using processing techniques that are more conducive to human visualizations, perceptions, and/or interpretations of data. This is accomplished using an example tool that allows previously processed and identified features (hereafter “known features”) to be aggregated so as to aid the system in recognizing abstract data features, preferably using Boolean operators and user-assigned hit weight values across desired cluster ranges surrounding analyzed data elements.
摘要翻译：本文公开了在数据分析和特征识别期间用于创建，处理和使用复合特征的方法和系统。在优选实施例中，本发明用于在数据分析和特征识别事件期间应用新的数据鉴别水平，使得使用更有利于人类可视化，感知的处理技术的数据池的其余部分更容易地识别特征，和/或数据解释。这是使用允许先前处理和识别的特征（以下称为“已知特征”）的示例工具来实现的，以便帮助系统识别抽象数据特征，优选地使用布尔运算符和期望簇上的用户分配的命中权重值围绕分析的数据元素的范围。

3. 发明申请

US20090240741A1 METHODS AND SYSTEMS FOR CREATION AND USE OF RAW-DATA DATASTORE 有权
标题翻译：用于创建和使用原始数据数据的方法和系统
公开(公告)号：US20090240741A1
公开(公告)日：2009-09-24
申请号：US12405982
申请日：2009-03-17
申请人： Nicholas Levi Middleton , Robert Leon Bass, II , Bryan Glenn Donaldson
发明人： Nicholas Levi Middleton , Robert Leon Bass, II , Bryan Glenn Donaldson
IPC分类号： G06F17/30
CPC分类号： G06F17/30286
摘要： A raw-data datastore during data analysis and feature recognition abstracts away and/or reduces dependency upon typically required components of datastore training. The datastore functions to store the original data values of a data set selection, which can represent a known feature. In some embodiments, the original data set is retained as the raw data value set referenced by the raw-data datastore. The use of this raw-data datastore eliminates the need for continued manual retraining of the original data values and patterns, which can be associated with a particular known feature, each time the pluralities of evaluation algorithms and/or the target data area are altered, changed, modified, or reconfigured.
摘要翻译：数据分析和特征识别期间的原始数据数据存储抽象出和/或减少对数据存储区培训的典型需求组件的依赖。数据存储区用于存储可以表示已知特征的数据集选择的原始数据值。在一些实施例中，原始数据集被保留为原始数据数据存储引用的原始数据值集合。这种原始数据数据存储区的使用消除了在每次改变多个评估算法和/或目标数据区域时，需要继续手动重新训练原始数据值和模式，其可以与特定已知特征相关联，更改，修改或重新配置。

4. 发明授权

US08156108B2 Methods and systems for creation and use of raw-data datastore 有权
标题翻译：用于创建和使用原始数据数据存储的方法和系统
公开(公告)号：US08156108B2
公开(公告)日：2012-04-10
申请号：US12405982
申请日：2009-03-17
申请人： Nicholas L. Middleton , Robert Leon Bass, II , Bryan Glenn Donaldson
发明人： Nicholas L. Middleton , Robert Leon Bass, II , Bryan Glenn Donaldson
IPC分类号： G06F17/00
CPC分类号： G06F17/30286
摘要： A raw-data datastore during data analysis and feature recognition abstracts away and/or reduces dependency upon typically required components of datastore training. The datastore functions to store the original data values of a data set selection, which can represent a known feature. In some embodiments, the original data set is retained as the raw data value set referenced by the raw-data datastore. The use of this raw-data datastore eliminates the need for continued manual retraining of the original data values and patterns, which can be associated with a particular known feature, each time the pluralities of evaluation algorithms and/or the target data area are altered, changed, modified, or reconfigured.
摘要翻译：数据分析和特征识别期间的原始数据数据存储抽象出和/或减少对数据存储区培训的典型需求组件的依赖。数据存储区用于存储可以表示已知特征的数据集选择的原始数据值。在一些实施例中，原始数据集被保留为原始数据数据存储引用的原始数据值集合。这种原始数据数据存储区的使用消除了在每次改变多个评估算法和/或目标数据区域时，需要继续手动重新训练原始数据值和模式，其可以与特定已知特征相关联，更改，修改或重新配置。

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