Data Mining has become an important
technique for the exploration and extraction of data in numerous and various
research projects in different fields (technology, information technology,
business, the environment, economics, etc.). In the context of the analysis and
visualisation of large amounts of data extracted using Data Mining on a
temporary basis (time-series), free software such as R has appeared in the
international context as a perfect inexpensive and efficient tool of
exploitation and visualisation of time series. This has allowed the development
of models, which help to extract the most relevant information from large
volumes of data. In this regard, a script has been developed with the goal of
implementing ARIMA models, showing these as useful and quick mechanisms for the
extraction, analysis and visualisation of large data volumes, in addition to
presenting the great advantage of being applied in multiple branches of
knowledge from economy, demography, physics, mathematics and fisheries among
others. Therefore, ARIMA models appear as a Data Mining technique, offering
reliable, robust and high-quality results, to help validate and sustain the
research carried out.
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