首页>
外国专利>
Methods and systems for detecting disparate incidents in processed data using a plurality of machine learning models
Methods and systems for detecting disparate incidents in processed data using a plurality of machine learning models
展开▼
机译:使用多台机器学习模型检测处理数据中的不同事件的方法和系统
展开▼
页面导航
摘要
著录项
相似文献
摘要
Methods and systems for detecting disparate incidents in processed data using a plurality of machine learning models. For example, the system may receive native asset data. The system may extract telemetry data from the native asset data. The system may input the first feature input into a first machine learning model, wherein the first machine learning model is trained to detect known incidents of a first type in a first set of labeled telemetry data. The system may then detect a first incident based on a first output from the first machine learning model, wherein the first incident is a first event in an asset related to the user's behavior.
展开▼