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公开(公告)号：US06928434B1
公开(公告)日：2005-08-09
申请号：US09867801
申请日：2001-05-31
CPC分类号： G06Q30/02 , G06Q20/207 , Y10S707/99936 , Y10S707/99942
摘要： A computer-assisted method for determining a plurality of clusters is disclosed. The disclosed method includes, for each of a plurality of observations, obtaining a data set containing no more than one proxy value for each of a plurality of variables, each variable having a plurality of possible values. The disclosed method also includes, assigning each of the plurality of observations to one of a plurality of clusters, and, for the plurality of observations and the plurality of variables, via cluster reassignment, maximizing a processor-determined fitness score representing a number of variables from the plurality of variables for which each observation's proxy value corresponds to a mode for that observation's assigned cluster.
摘要翻译： 公开了一种用于确定多个群集的计算机辅助方法。 所公开的方法包括对于多个观察中的每一个，获得包含多个变量中的每一个的不超过一个代理值的数据集，每个变量具有多个可能的值。 所公开的方法还包括：将多个观测值中的每一个分配给多个聚类中的一个，并且对于多个观察值和多个变量，经由群集重新分配，将表示多个变量的处理器确定的适合度最大化 从每个观察的代理值对应的多个变量对应于该观察的分配的集群的模式。
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公开(公告)号：US07398270B1
公开(公告)日：2008-07-08
申请号：US09867803
申请日：2001-05-31
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , Y10S707/99936 , Y10S707/99945
摘要： A computer-assisted method for evaluating a cluster assignment for an observation is disclosed. The disclosed method includes, for each of a plurality of observations, obtaining a data set containing no more than one proxy value for each of a plurality of variables, each variable having a plurality of possible values, the data set also containing a cluster assignment for the observation, the cluster assignment identifying one cluster from a plurality of clusters. The disclosed method also includes, for each observation from the plurality of observations, calculating a percent of proxy values for the plurality of variables that equals a mode of that observation's corresponding cluster's proxy values for the corresponding variables, and outputting the percent for each observation.
摘要翻译： 公开了一种用于评估观察的簇分配的计算机辅助方法。 所公开的方法包括对于多个观察中的每一个，获得包含多个变量中的每一个的不超过一个代理值的数据集，每个变量具有多个可能的值，所述数据集还包含用于 观察，簇分配从多个聚类中识别一个聚类。 所公开的方法还包括对于来自多个观察结果的每个观察值，计算多个变量的代理值的百分比，所述变量等于所述观察对应的簇的相应变量的代理值的模式，并输出每个观察的百分比。
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3.发明授权Computer-assisted systems and methods for determining effectiveness of survey question 失效计算机辅助系统和确定调查问题有效性的方法公开(公告)号：US06895405B1
公开(公告)日：2005-05-17
申请号：US09867800
申请日：2001-05-31
CPC分类号： G06Q30/02 , Y10S707/99936 , Y10S707/99942 , Y10S707/99945
摘要： A computer-assisted method is disclosed for determining a potential effectiveness of a survey question. The disclosed method includes segregating a plurality of responses to a survey question into a plurality of categories, and determining a response distribution for each of the plurality of categories. The disclosed method also includes calculating a box score and a difference score for the survey question from the response distributions, and using the box score and the difference score to obtain an effectiveness score for the survey question.
摘要翻译： 公开了用于确定调查问题的潜在有效性的计算机辅助方法。 所公开的方法包括将多个对调查问题的响应分离成多个类别，以及确定多个类别中的每一个的响应分布。 所公开的方法还包括从响应分布中计算调查问题的方框得分和差分，并使用方框得分和差分得到调查问题的有效性分数。
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公开(公告)号：US06745184B1
公开(公告)日：2004-06-01
申请号：US09867802
申请日：2001-05-31
申请人： Lawrence J. Choi , Christopher B. Kuenne , Kurt E. Holstein, II , Henry Andrew Cross , George Tang , Chetna Bansal , Jason R. Whitney , Joshua D. Babbitt
发明人： Lawrence J. Choi , Christopher B. Kuenne , Kurt E. Holstein, II , Henry Andrew Cross , George Tang , Chetna Bansal , Jason R. Whitney , Joshua D. Babbitt
IPC分类号： G06F1730
CPC分类号： G06Q10/04 , G06Q20/207 , G06Q30/02 , Y10S707/99936 , Y10S707/99942
摘要： A computer-assisted method for placing each of a plurality of observations into one of a predefined set of clusters is disclosed. The disclosed method includes, for each of a plurality of observations, obtaining a data set containing no more than one proxy value for each of a plurality of variables, each variable having a plurality of possible values, and obtaining a set of first dummy variables having a value indicative of an observation's membership or non-membership (i.e., membership status) in a particular cluster. The disclosed method also includes obtaining a set of second dummy variables each having a value indicative of an observation's having a particular response or lack thereof for a given variable, and, for each observation, regressing the set of first dummy variables on the set of second dummy variables to obtain a linear approximation to a plurality of probabilities that an observation with particular provided values to the plurality of possible values belongs to each particular cluster from the predefined set of clusters.
摘要翻译： 公开了一种计算机辅助方法，用于将多个观测值中的每一个置于预定义的一组集群中。 所公开的方法包括对于多个观察中的每一个，获得包含多个变量中的每一个的不超过一个代理值的数据集，每个变量具有多个可能值，并且获得一组第一虚拟变量，其具有 指示特定群集中的观察成员资格或非成员资格（即成员资格状态）的值。 所公开的方法还包括获得一组第二虚拟变量，每个第二虚拟变量具有指示观察对于给定变量具有特定响应或缺乏的值，并且对于每个观察，在第二组的集合上回归第一虚拟变量集合 虚拟变量以获得对多个概率的线性近似，即对于多个可能值的特定提供值的观察属于来自预定集群的每个特定聚类。
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公开(公告)号：US06996560B1
公开(公告)日：2006-02-07
申请号：US09867582
申请日：2001-05-31
申请人： Lawrence J. Choi , Christopher B. Kuenne , Kurt E. Holstein, II , Henry Andrew Cross , Jason R. Whitney , George Tang , Chetna Bansal , Joshua D. Babbitt
发明人： Lawrence J. Choi , Christopher B. Kuenne , Kurt E. Holstein, II , Henry Andrew Cross , Jason R. Whitney , George Tang , Chetna Bansal , Joshua D. Babbitt
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06Q30/0241 , Y10S707/99936 , Y10S707/99942 , Y10S707/99945
摘要： Exemplary embodiments provide a computer-assisted method for typing customers/prospects, including the activities of: refining a survey via bestfit clustering; refining survey results via composition analysis; and identifying clusters of customers/prospects from the survey results via champion/challenger cluster refinement and panel analysis.
摘要翻译： 示例性实施例提供了一种用于打字客户/潜在客户的计算机辅助方法，包括以下活动：通过最佳组合优化调查; 通过组合分析精炼调查结果; 并通过冠军/挑战者群体细化和面板分析从调查结果中识别客户/潜在客户群。
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