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SYSTEM AND METHODS FOR FEATURE RELEVANCE VISUALIZATION OPTIMIZATION AND FILTERING FOR EXPLAINABILITY IN AI-BASED ALERT DETECTION AND PROCESSING SYSTEMS
SYSTEM AND METHODS FOR FEATURE RELEVANCE VISUALIZATION OPTIMIZATION AND FILTERING FOR EXPLAINABILITY IN AI-BASED ALERT DETECTION AND PROCESSING SYSTEMS
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机译：特征相关性可视化优化和滤波的系统和方法，用于AI的警报检测和处理系统中的解释性
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摘要
A system for feature relevance visualization optimization is provided. The system comprises a controller configured for modifying placement of features in a relevance visualization. The controller is further configured to: receive interaction data comprising one or more features positioned in the relevance visualization, wherein the one or more features are defined and measurable properties of the interaction data; construct a logical grouping of the one or more features based on a type of each of the one or more features, wherein similar features are collocated in the relevance visualization; construct a machine learning-based grouping of the one or more features based on relevance calculations for the one or more features; combine the logical grouping and the machine learning-based grouping to generate a combined feature placement, wherein the one or more features are repositioned in the relevance visualization; and output the relevance visualization having the combined feature placement.
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