On Intelligent Data Analysis for Hierarchical Rule-Base Generation
نویسندگان
چکیده
A framework for fuzzy conceptual clustering of time series is proposed. Static and temporal information is analyzed separately. Temporal reasoning is used to generate temporal rules. The generated rules can be brought into a hierarchy. The framework will be used for the classiication and description of alarm and no-alarm concepts for an intelligent anesthesia monitor. trend analysis by temporal reasoning, intelligent data analysis, knowledge acquisition by inductive learning.
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تاریخ انتشار 1995