Tuesday, 12 January 2016

Time Series Analysis and Mining with R

Contents
  1. Time series data in R
  2. Time series decomposition, forecasting, clustering and classification
  3. Autoregressive integrated moving average (ARIMA) model
  4. Dynamic Time Warping (DTW)
  5. Discrete Wavelet Transform (DWT)
  6. k-NN classification

http://www.rdatamining.com/docs/time-series-analysis-and-mining-with-r


Posted by  Mudushini Liyanage

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