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    • 6. 发明申请
    • TEMPORAL RULE-BASED FEATURE DEFINITION AND EXTRACTION
    • 基于规则的特征定义和提取
    • US20120159263A1
    • 2012-06-21
    • US12972273
    • 2010-12-17
    • Venkatesh-Prasad RanganathPiyush GoyalPradip Harindran VallatholGanesan Ramalingam
    • Venkatesh-Prasad RanganathPiyush GoyalPradip Harindran VallatholGanesan Ramalingam
    • G06F11/34
    • G06F17/30551
    • A temporal rule-based feature extraction system and method for extracting features from temporal-based rules satisfied by a trace. Once a temporal-based rule is found that is satisfied by the trace, then embodiments of the temporal rule-based feature extraction system and method leverage that rule to either use as a feature or to extract additional features. The extracted feature then is used to characterize the trace. Embodiments of the system include a feature definition module, which defines features based on the temporal-based rules satisfied by a trace, and a similarity measure module, which defines a similarity measure for the defined features. The defined features include both extrinsic features, which are based on extrinsic properties of the rule, and intrinsic features, which are based on intrinsic properties of the rule. The similarity module generates similarity measures that indicate the similarity of two traces.
    • 一种基于时间规则的特征提取系统和方法,用于从轨迹满足的基于时间的规则中提取特征。 一旦找到由跟踪满足的基于时间的规则,则基于时间规则的特征提取系统和方法的实施例利用该规则来将该规则用作特征或提取附加特征。 然后提取的特征用于表征轨迹。 该系统的实施例包括特征定义模块,其定义基于由轨迹满足的基于时间的规则的特征,以及相似性度量模块,其定义所定义特征的相似性度量。 定义的特征包括基于规则的外在属性的外在特征以及基于规则的固有属性的内在特征。 相似性模块生成表示两条迹线相似度的相似性度量。