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公开(公告)号：US20100010878A1
公开(公告)日：2010-01-14
申请号：US12564998
申请日：2009-09-23
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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2.发明授权Predictor variable selection and dimensionality reduction for a predictive model 有权预测模型的预测变量选择和维数降低公开(公告)号：US08751273B2
公开(公告)日：2014-06-10
申请号：US12787956
申请日：2010-05-26
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。
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公开(公告)号：US07725300B2
公开(公告)日：2010-05-25
申请号：US10826453
申请日：2004-04-16
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。
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公开(公告)号：US07933762B2
公开(公告)日：2011-04-26
申请号：US10826630
申请日：2004-04-16
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。
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公开(公告)号：US20110071956A1
公开(公告)日：2011-03-24
申请号：US12787956
申请日：2010-05-26
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。
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