专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US5930803A Method, system, and computer program product for visualizing an evidence classifier 失效
标题翻译：用于可视化证据分类器的方法，系统和计算机程序产品
公开(公告)号：US5930803A
公开(公告)日：1999-07-27
申请号：US841341
申请日：1997-04-30
申请人： Barry G. Becker , Ron Kohavi , Daniel A. Sommerfield , Joel D. Tesler
发明人： Barry G. Becker , Ron Kohavi , Daniel A. Sommerfield , Joel D. Tesler
IPC分类号： G06F17/30
CPC分类号： G06F17/30716 , Y10S707/99945 , Y10S707/99948
摘要： A method, system, and computer program product visualizes the structure of an evidence classifier. An evidence inducer generates an evidence classifier based on a training set of labeled records. A mapping module generates visualization data files. An evidence visualization tool uses the visualization data files to display an evidence pane and/or a label probability pane. A first evidence pane display view shows a normalized conditional probability of each label value, for each attribute value. The first evidence pane display view can be a plurality of rows of pie charts. Each pie slice in a pie chart has a size which is a function of the normalized conditional probability of each label value for the respective attribute value. A second evidence pane display view shows relative conditional probabilities of a selected label value, for each attribute value. The second evidence pane display view can be a plurality of rows of bars. Bar height is a function of a conditional probability of a respective attribute value conditioned on the selected label value. A first label probability pane display view shows a pie chart of prior probabilities of each label value based on the training set. A second label probability pane display view shows a pie chart of posterior probabilities of each label value based on at least one selected attribute value. An importance slider controls filtering of attributes based on the importance of the attributes to a classification of unlabeled records. A count slider filters out attribute values having relatively low record counts. The evidence classifier visualization tool further provides sorting of attributes and/or attribute values. A subtracting minimum evidence capability is provided.
摘要翻译：方法，系统和计算机程序产品可视化证据分类器的结构。证据诱导者基于标记记录的训练集生成证据分类器。映射模块生成可视化数据文件。证据可视化工具使用可视化数据文件来显示证据窗格和/或标签概率窗格。第一个证据窗格显示视图显示每个属性值的每个标签值的归一化条件概率。第一个证据窗格显示视图可以是多行饼图。饼图中的每个饼图切片具有相应属性值的每个标签值的归一化条件概率的函数的大小。第二个证据窗格显示视图显示了每个属性值的所选标签值的相对条件概率。第二证据窗格显示视图可以是多行条。条高是根据所选标签值调整的相应属性值的条件概率的函数。第一标签概率窗格显示视图显示基于训练集的每个标签值的先验概率的饼图。第二标签概率窗格显示视图基于至少一个所选择的属性值显示每个标签值的后验概率的饼图。重要性滑块根据属性对未标记记录分类的重要性来控制对属性的过滤。计数滑块过滤掉具有相对较低记录计数的属性值。证据分类器可视化工具进一步提供属性和/或属性值的排序。提供减法最小证据能力。

2. 发明授权

US06460049B1 Method system and computer program product for visualizing an evidence classifier 有权
公开(公告)号：US06460049B1
公开(公告)日：2002-10-01
申请号：US09218445
申请日：1998-12-22
申请人： Barry G. Becker , Ron Kohavi , Daniel A. Sommerfield , Joel D. Tesler
发明人： Barry G. Becker , Ron Kohavi , Daniel A. Sommerfield , Joel D. Tesler
IPC分类号： G06F1730
CPC分类号： G06F17/3071 , Y10S707/99942 , Y10S707/99943 , Y10S707/99945
摘要： A method, system, and computer program product visualizes the structure of an evidence classifier. An evidence inducer generates an evidence classifier based on a training set of labeled records. A mapping module generates visualization data files. An evidence visualization tool uses the visualization data files to display an evidence pane and/or a label probability pane. A first evidence pane display view shows a normalized conditional probability of each label value, for each attribute value. The first evidence pane display view can be a plurality of rows of pie charts. Each pie slice in a pie chart has a size which is a function of the normalized conditional probability of each label value for the respective attribute value. For each pie chart, the mapping module maps a height that is a function of the number of records in the training set associated with the evidence classifier. A second evidence pane display view shows relative conditional probabilities of a selected label value, for each attribute value. The second evidence pane display view can be a plurality of rows of bars. Bar height is a function of a conditional probability of a respective attribute value conditioned on the selected label value. Bar heights can represent Evidence For a selected label value or Evidence Against a selected label. A first label probability pane display view shows a pie chart of prior probabilities of each label value based on the training set. A second label probability pane display view shows a pie chart of posterior probabilities of each label value based on at least one selected attribute value. An importance slider controls filtering of attributes based on the importance of the attributes to a classification of unlabeled records. A count slider filters out attribute values having relatively low record counts. The evidence classifier visualization tool further provides sorting of attributes and/or attribute values. A subtracting minimum evidence capability is provided.

3. 发明授权

US6026399A System and method for selection of important attributes 失效
标题翻译：用于选择重要属性的系统和方法
公开(公告)号：US6026399A
公开(公告)日：2000-02-15
申请号：US866314
申请日：1997-05-30
申请人： Ron Kohavi , Daniel A. Sommerfield
发明人： Ron Kohavi , Daniel A. Sommerfield
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F17/3061 , G06K9/6231 , Y10S707/99932 , Y10S707/99933 , Y10S707/99935 , Y10S707/99936 , Y10S707/99937
摘要： A system and method determines how well various attributes in a record discriminate different values of a chosen label attribute. An attribute is considered a relevant attribute if it discriminates different values of a chosen label attribute either alone or in conjunction with other attributes. According to the present invention, a label attribute is selected by a user from a set of records, with each record having a plurality of attributes. Next, one or more first important attributes considered important by the user are selected. The present invention then generates one or more second important attributes. The second important attributes together with the user chosen first important attributes discriminate well between different values of the label attribute. A measure called "purity" (a number from 0 to 100) informs how well each attribute discriminates the different label attributes. The purity measure allows the attributes to be ranked based on their importance.
摘要翻译：系统和方法确定记录中的各种属性如何区分所选标签属性的不同值。如果将属性单独或与其他属性一起区分所选标签属性的不同值，则将其视为相关属性。根据本发明，用户从一组记录中选择标签属性，每个记录具有多个属性。接下来，选择被用户认为重要的一个或多个第一重要属性。然后，本发明产生一个或多个第二重要属性。第二个重要属性与用户选择的第一重要属性在标签属性的不同值之间进行了良好的区分。称为“纯度”（从0到100的数字）的度量通知每个属性识别不同标签属性的程度。纯度测量允许属性根据其重要性进行排名。

4. 发明授权

US07418449B2 System and method for efficient enrichment of business data 失效
标题翻译：有效丰富业务数据的系统和方法
公开(公告)号：US07418449B2
公开(公告)日：2008-08-26
申请号：US10898715
申请日：2004-07-22
申请人： Daniel A. Sommerfield , Hinrich H. Schuetze , Stan Stukov
发明人： Daniel A. Sommerfield , Hinrich H. Schuetze , Stan Stukov
IPC分类号： G06F7/00
CPC分类号： G06F17/30563
摘要： A method for loading data into a datamart. The method includes identifying business data in a first format from a real business process and identifying a desired second format. The method includes designing a transformation algorithm that transforms the business data in the first format into the second format and implementing the transformation algorithm in computer executable code. The method includes running the computer executable code on business data in the first format and generating business data in the second format and storing the business data in the second format in a datamart.
摘要翻译：一种将数据加载到数据集中的方法。该方法包括从真正业务流程识别出第一格式的业务数据并识别期望的第二格式。该方法包括设计将第一格式的业务数据转换为第二格式并在计算机可执行代码中实现变换算法的变换算法。该方法包括以第一格式运行业务数据上的计算机可执行代码，并以第二格式生成业务数据，并将数据存储在第二格式的业务数据中。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式