Invention Grant
US08126825B2 Method for visualizing feature ranking of a subset of features for classifying data using a learning machine
有权
用于使用学习机分类数据的特征子集的特征排名可视化的方法
- Patent Title: Method for visualizing feature ranking of a subset of features for classifying data using a learning machine
- Patent Title (中): 用于使用学习机分类数据的特征子集的特征排名可视化的方法
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Application No.: US13079198Application Date: 2011-04-04
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Publication No.: US08126825B2Publication Date: 2012-02-28
- Inventor: Isabelle Guyon
- Applicant: Isabelle Guyon
- Applicant Address: US GA Savannah
- Assignee: Health Discovery Corporation
- Current Assignee: Health Discovery Corporation
- Current Assignee Address: US GA Savannah
- Agency: Procopio, Cory, Hargreaves & Savitch LLP
- Agent Eleanor M. Musick
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
A method for enhancing knowledge discovery from a dataset uses visualization of a subset features within a dataset that provide the best separation of the dataset into classes. One or more classifiers are trained using each subset of features and the success rate of the classifiers in accurately classifying the dataset is calculated. The success rate is converted into a ranking that is represented as a visually distinguishable characteristic. One or more tree structures may be displayed with a node representing each feature, and the visually distinguishable characteristic is used to indicate the scores for each feature subset. Connectors between the nodes may be used to indicate unconstrained and constrained feature sets. Nodes within a constrained path may be substituted for a feature within the preferred, unconstrained path if that feature is impractical to measure.
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