Efficient Parallelism for Mining Sequential Rules
2016-08-23
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Efficient parallel time series data a lattice teaching method in PDF based on lattice theory format.parallel In the algorithm, temporal rule mining proposes a method to find rules between patterns, which keeps sequential access to feature series data in multiple streams. Human motion data capture system through motion capture is regarded as multi stream, and multi-dimensional data can be used as real-time data set. The dataset is transformed into symbolic sequences due to its lower complexity dimension. Relationships are represented in symbols as & quot; rules & quot;. It is suggested to implement algorithm multi processor system memory (DSM) on distributed sharing. The experimental results show that the efficiency of seeking rules from sequential temporal data pattern implementation is significantly faster than previous reported algorithms.
matlab
规则
数据
时序
时间序列
并行
挖掘
高效
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