Secondly, ignoring some aberrance of time-series pattern by the high-order neural network. At last, improving the classified accuracy by the classified way.
同其他的时序模式发现算法相比较，具有几点创新：1)从分类精度的角度来改善时序模式发现算法；2)通过高阶神经网络，直接利用网络的特性忽略了时序模式的某些畸变；3)利用了分层方法，进一步改善分类精度。
参考来源 - 时序模式发现算法研究与改进·2,447,543篇论文数据，部分数据来源于NoteExpress
The paper gives the algorithm for mining time-series pattern or rules and illustrates the...
给出了时间序列模式和规则的挖掘算法，并举例说明该算法是有效和可行的。
The main task of data mining includes correlation analysis, cluster analysis, classification, prediction, time-series pattern, deviation analysis and so on.
数据挖掘的任务主要有关联分析、聚类分析、分类、预测、时序模式和偏差分析等。
In the paper, being directed to the complex model of time-series pattern, drawing idea and giving pseudo code of the algorithm of finding time-series patterns has been presented.
针对时序数据中的复杂模式问题，提出了一种时序模式算法，并描绘了算法的基本思想及给出了算法的简单伪代码。
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