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METHODS AND SYSTEMS OF USING APPLICATION-SPECIFIC AND APPLICATION -TYPE-SPECIFIC MODELS FOR THE EFFICIENT CLASSIFICATION OF MOBILE DEVICE BEHAVIORS
METHODS AND SYSTEMS OF USING APPLICATION-SPECIFIC AND APPLICATION -TYPE-SPECIFIC MODELS FOR THE EFFICIENT CLASSIFICATION OF MOBILE DEVICE BEHAVIORS
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机译:使用专用模型和专用模型对移动设备行为进行有效分类的方法和系统
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摘要
Methods, and mobile devices implementing the methods, use application-specific and/or application-type specific classifier to improve the efficiency and performance of a comprehensive behavioral monitoring and analysis system predicting whether a software application is causing undesirable or performance depredating behavior. The application-specific and application-type specific classifier models may include a reduced and more focused subset of the decision nodes that are included in a full or more complete classifier model that may be received or generated in the mobile device. The locally generated application-specific and/or application-type specific classifier models may be used to perform real-time behavior monitoring and analysis operations by applying the application-based classifier models to a behavior/feature vector generated by monitoring mobile device behavior. The various aspects focus monitoring and analysis operations on a small number of features that are most important for determining whether operations of a software application are contributing to undesirable or performance depredating behavior.
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