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  "Title": "Forecasting of univariate time series using the Pattern\nSequence-based Forecasting (PSF) algorithm",
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  "Author": "Neeraj Bokde, Gualberto Asencio-Cortes and Francisco\nMartinez-Alvarez",
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  "Description": "Pattern Sequence Based Forecasting (PSF) takes univariate\ntime series data as input and assist to forecast its future\nvalues. This algorithm forecasts the behavior of time series\nbased on similarity of pattern sequences. Initially, clustering\nis done with the labeling of samples from database. The labels\nassociated with samples are then used for forecasting the\nfuture behaviour of time series data. The further technical\ndetails and references regarding PSF are discussed in Vignette.",
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      "title": "Forecasting of univariate time series using the PSF algorithm",
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        "Example",
        "Install library",
        "Prediction results for ’nottem’ dataset with psf() function.",
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        "Plot for 'nottem' dataset",
        "Plot for 'sunspots' dataset",
        "Comparison of psf() with auto.arima() and ets() functions:",
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