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A COMPUTERIZED METHOD FOR DISCOVERING PATTERNS IN UNKNOWN MULTI-DIMENSIONAL DATA
A COMPUTERIZED METHOD FOR DISCOVERING PATTERNS IN UNKNOWN MULTI-DIMENSIONAL DATA
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机译:未知多维数据中模式发现的计算机方法
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摘要
A method discovers patterns in unknown multi-dimensional data. A time-series of the multi-dimensional data is generated and a point cross-distance matrix is constructed by self-correlating the time-series. All minimum cost paths in the point cross-distance matrix are located at multiple time resolutions. The minimum cost paths are then related to temporal sub-sequences in the multi-dimensional data to discover high-level patterns in the unknown multi-dimensional data.
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