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它涉及到统计，分析和模式识别，行为分析，时间序列分析，预测建模，可视化，因果的研究等等。
It involves statistics, profiling and pattern recognition, behavioral analysis, time series analysis, predictive modeling, visualization, cause-and-effect studies and more.
最终通过比较各待识序列的实现可能性大小，完成对该待识序列的模式识别。
Finally, pattern of the action sequence segment can be confirmed by comparing possibility scale of subsequences waiting for recognition.
第四章应用结构模式识别的方法，建立多阶均线形态组合序列。
In Chapter 4, we use the method of structural pattern recognition, build multistage sequence of equal-string form.
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