time series preprocessing

  1. Simple Moving Average

    Construct a Simple Moving Average.

    TimeSeries
  2. Linear Detrend

    Fits a linear trend to the given dataset, and returns the linear trend subtracted out

    TimeSeries
  3. Remove Seasonality

    Removes seasonal components from a time series

    TimeSeries
  4. Fourier Filter

    A speculative algorithm for filtering time series data

    TimeSeries
  5. TimeSeriesDelta

    This is the TimeSeriesDelta filter, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/filters/unsupervised/attribute/TimeSeriesDelta.html

    weka
Rows per page: 1-5 of 8
  1. Linear Detrend

    Fits a linear trend to the given dataset, and returns the linear trend subtracted out

    TimeSeries
  2. Simple Moving Average

    Construct a Simple Moving Average.

    TimeSeries
  3. Exponential Moving Average

    Returns the exponential moving average of a time series

    TimeSeries
  4. Remove Seasonality

    Removes seasonal components from a time series

    TimeSeries
  5. Fourier Detrend

    A speculative algorithm for removing seasonality in time series data

    TimeSeries
Rows per page: 1-5 of 8
  1. Fourier Filter

    A speculative algorithm for filtering time series data

    TimeSeries
  2. Fourier Detrend

    A speculative algorithm for removing seasonality in time series data

    TimeSeries
  3. Exponential Moving Average

    Returns the exponential moving average of a time series

    TimeSeries
  4. Simple Moving Average

    Construct a Simple Moving Average.

    TimeSeries
  5. Remove Seasonality

    Removes seasonal components from a time series

    TimeSeries
Rows per page: 1-5 of 8