Time series anomaly detection, anomaly classification, and transition analysis using k-nearest neighbor and logistic regression approaches

• 1. 使用K最近邻及逻辑回归方法的时间序列故障检测、故障分类及转变分析 [P] . 中国专利： CN109716303A . 2019-05-03
• 2. 基于逻辑回归的排队异常检测方法及装置 [P] . 中国专利： CN106971150B . 2020.09.08
• 3. Time series anomaly detection, anomaly classification, and transition analysis using k-neighbors and logistic regression approach [P] . 日本专利： JP2019533236A . 2019-11-14

  机译： 使用k邻域和逻辑回归方法进行时间序列异常检测，异常分类和过渡分析

• 4. Time series failure detection using K-nearest neighbor and logistic regression approach, fault classification, and transition analysis [P] . 韩国专利： KR20190045383A . 2019-05-02

  机译： 使用K最近邻和逻辑回归方法进行时间序列故障检测，故障分类和过渡分析

• 5. Time series fault detection, fault classification, and transition analysis using K-nearest-neighbor and logistic regression approaches [P] . 韩国专利： KR102155155B1 . 2020-09-11

  机译： 使用K近邻和Logistic回归方法进行时间序列故障检测，故障分类和过渡分析

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