传统统计方法在时间序列分析中既简洁又有力,但面对大规模时间序列集合时,扩展性往往不尽如人意。现实中的趋势变化往往微弱、带有噪声、数量也不止一个,靠肉眼判断既不可靠也不现实。一旦需要处理数十乃至数百条时间序列,人工识别就更不可行了。
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