Dear Researchers,
Have a look over updated *R package PSF*. Pattern Sequence Based
Forecasting (PSF) takes univariate time series data as input and assist to
forecast its future values. This algorithm forecasts the behavior of time
series based on similarity of pattern sequences. Initially, clustering is
done with the labeling of samples from database. The labels associated with
samples are then used for forecasting the future behaviour of time series
data. The further technical details and references regarding PSF are
discussed in Vignette.
*CRAN:* *https://cran.r-project.org/web/packages/PSF/index.html
<https://cran.r-project.org/web/packages/PSF/index.html>*
*GitHub:* https://github.com/neerajdhanraj/PSF
*How to use:* https://www.researchgate.net/publication/304131481_PSF_
Introduction_to_R_Package_for_Pattern_Sequence_Based_Forecasting_Algorithm
Also go through the modification in terms of seasonal dataset.
https://www.researchgate.net/publication/304580701_
Introduction_of_seasonality_concept_in_PSF_algorithm_to_
improve_univariate_time_series_predictions
For further details *contact me* at: http://www.neerajbokde.com/
--
Regards ,
Neeraj Dhanraj Bokde
M.E. Embedded System
Birla Institute of Technology & Science, Pilani
Pilani Campus , Rajasthan, India
Phone: *+91 9028415974 <%2B91%209028415974>*
Email: h2012105 at pilani.bits-pilani.ac.in; *neerajdhanraj at gmail.com
<neerajdhanraj at gmail.com>*
Website: http://www.neerajbokde.com
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