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Systems and methods for providing real-time classification of continuous data streams
Systems and methods for providing real-time classification of continuous data streams
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机译:用于提供连续数据流的实时分类的系统和方法
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摘要
Systems and methods are provided for real-time classification of streaming data. In particular, systems and methods for real-time classification of continuous data streams implement micro-clustering methods for offline and online processing of training data to build and dynamically update training models that are used for classification, as well as incrementally clustering the data over contiguous segments of a continuous data stream (in real-time) into a plurality of micro-clusters from which target profiles are constructed which define/model the behavior of the data in individual segments of the data stream.
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