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1. 发明授权

US07499897B2 Predictive model variable management 有权
标题翻译：预测模型变量管理
公开(公告)号：US07499897B2
公开(公告)日：2009-03-03
申请号：US10826624
申请日：2004-04-16
申请人： Stephen K. Pinto , Richard Mansfield
发明人： Stephen K. Pinto , Richard Mansfield
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06Q30/02
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. A graphical user interface enables a user of a model generation tool to view and manage subgroups of variables associated with generation of a predictive model including original source variables and derived variables; variable response functions are displayed; variables are edited and transformed into new more predictive variables.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。图形用户界面使得模型生成工具的用户可以查看和管理与生成包括原始源变量和派生变量的预测模型相关联的变量子组; 显示变量响应函数; 变量被编辑并转换成新的更具预测性的变量。

2. 发明授权

US07933762B2 Predictive model generation 有权
标题翻译：预测模型生成
公开(公告)号：US07933762B2
公开(公告)日：2011-04-26
申请号：US10826630
申请日：2004-04-16
申请人： Stephen K. Pinto , Richard J. W. Mansfield , Marc Jacobs , Donald B. Rubin , Jay C. Hirshberg
发明人： Stephen K. Pinto , Richard J. W. Mansfield , Marc Jacobs , Donald B. Rubin , Jay C. Hirshberg
IPC分类号： G06F9/45 , G06N5/00 , G06N5/02
CPC分类号： G05B17/02
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.Historical multi-dimensional data is received representing multiple variables transformed to be maximally predictive for at least one outcome variable to be used as an input to a predictive model of a commercial system, model development process is validated for at one or more sets of such variables and enabling a user of a model generation tool to combine at least two of the variables from the sets of variables.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。接收的历史多维数据表示多个变量，以变换为对用作商业系统的预测模型的输入的至少一个结果变量进行最大预测，模型开发过程在一个或多个这样的变量集合并使得模型生成工具的用户能够组合来自变量集合中的至少两个变量。

3. 发明申请

US20110071956A1 PREDICTIVE MODEL DEVELOPMENT 有权
标题翻译：预测模型开发
公开(公告)号：US20110071956A1
公开(公告)日：2011-03-24
申请号：US12787956
申请日：2010-05-26
申请人： Stephen K. Pinto , Richard J.W. Mansfield , Donald B. Rubin , Jay C. Hirshberg
发明人： Stephen K. Pinto , Richard J.W. Mansfield , Donald B. Rubin , Jay C. Hirshberg
IPC分类号： G06Q10/00
CPC分类号： G06Q10/06 , G06F17/50 , G06F2217/10 , G06Q10/063 , G06Q10/0633 , G06Q10/0635 , G06Q10/067 , G06Q30/0202
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, and in which the project includes a series of user choice points and actions or parameter settings that govern the generation of the model based on rules, which direct the user to select and apply an optimal model.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。关于用户根据关于正在建模的系统的历史数据生成预测模型的项目，并且其中项目包括一系列基于规则的管理模型生成的用户选择点和动作或参数设置，其指示用户选择并应用最优模型。

4. 发明授权

US07562058B2 Predictive model management using a re-entrant process 有权
标题翻译：使用入侵过程的预测模型管理
公开(公告)号：US07562058B2
公开(公告)日：2009-07-14
申请号：US10826452
申请日：2004-04-16
申请人： Stephen K. Pinto , Richard Mansfield
发明人： Stephen K. Pinto , Richard Mansfield
IPC分类号： G06E3/00 , G06G7/00
CPC分类号： G06Q10/06 , G06Q30/0254 , Y10S707/99935
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.A user generates a predictive model based on historical data about a system being modeled. Structured project information is automatically stored that captures a state of the project at successive steps in generating the model.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。用户根据关于被建模系统的历史数据生成预测模型。自动存储结构化项目信息，在生成模型的连续步骤中捕获项目的状态。

5. 发明授权

US07730003B2 Predictive model augmentation by variable transformation 失效
标题翻译：通过变量变换预测模型增加
公开(公告)号：US07730003B2
公开(公告)日：2010-06-01
申请号：US10826950
申请日：2004-04-16
申请人： Stephen K. Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
发明人： Stephen K. Pinto , Richard Mansfield , Marc Jacobs , Donald Rubin
IPC分类号： G06E1/00 , G06E3/00
CPC分类号： G06Q10/04 , G06Q30/0201
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.Historical multi-dimensional data is received representing multiple source variables to be used as an input to a predictive model of a commercial system and applying transformations to the data that are selected based on the strength of measurement represented by a variable; variables are transformed into new more predictive variables, including the Bayesian renormalization of sparsely sampled variable and including the imputation of missing values for categorical or continuous variables.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。接收表示多个源变量的历史多维数据，以用作商业系统的预测模型的输入，并且基于由变量表示的测量强度来选择的数据进行变换; 变量被变换成新的更具预测性的变量，包括稀疏抽样变量的贝叶斯重正化，包括对分类或连续变量的缺失值的插补。

6. 发明授权

US07725300B2 Target profiling in predictive modeling 有权
标题翻译：预测模型中的目标分析
公开(公告)号：US07725300B2
公开(公告)日：2010-05-25
申请号：US10826453
申请日：2004-04-16
申请人： Stephen K. Pinto , Richard Mansfield , Jay C. Hirshberg
发明人： Stephen K. Pinto , Richard Mansfield , Jay C. Hirshberg
IPC分类号： G06F17/10
CPC分类号： G06Q30/02 , G06Q30/0201
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.In connection with a process in which a user generates a collection of predictive models or an aggregate predictive model based on historical data about a system being modeled, profiles of aggregate targets are generated based on key contributory variables.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。关于用户基于关于被建模的系统的历史数据生成预测模型集合或聚合预测模型的过程，基于关键贡献变量生成聚合目标的简档。

7. 发明申请

US20100010878A1 PREDICTIVE MODEL DEVELOPMENT 审中-公开
标题翻译：预测模型开发
公开(公告)号：US20100010878A1
公开(公告)日：2010-01-14
申请号：US12564998
申请日：2009-09-23
申请人： Stephen K. Pinto , Richard Masfield , Jay C. Hirshberg
发明人： Stephen K. Pinto , Richard Masfield , Jay C. Hirshberg
IPC分类号： G06Q10/00 , G06Q40/00 , G06N5/02
CPC分类号： G06Q10/06 , G06F17/50 , G06F2217/10 , G06Q10/063 , G06Q10/0633 , G06Q10/0635 , G06Q10/067 , G06Q30/0202
摘要： Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, and in which the project includes a series of user choice points and actions or parameter settings that govern the generation of the model based on rules, which direct the user to select and apply an optimal model.
摘要翻译：使用模型生成平台的各种工具和功能生成模型。例如，关于用户根据关于正被建模的系统的历史数据生成预测模型的项目，通过图形用户界面提供要遵循的模型生成活动的结构化序列，所述序列包括维度减少，模型生成，模型过程验证和模型重新生成。关于用户根据关于正在建模的系统的历史数据生成预测模型的项目，并且其中项目包括一系列基于规则的管理模型生成的用户选择点和动作或参数设置，其指示用户选择并应用最优模型。

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