Explore Big Data and Forecasting Future Values using Univariate Arima Model in R

  • Authors

    • S Sagar Imambi
    • P Vidyullatha
    • M V.B.T.Santhi
    • P Haran Babu
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.12300
  • ARIMA, Big data, Time-series, Univariate.

  • Electronic equipment and sensors spontaneously create diagnostic data that needs to be stocked and processed in real time. It is not only difficult to keep up with huge amount of data but also reasonably more challenging to analyze it.  Big Data is providing many opportunities for organizations to evolve their processes they try to move beyond regular BI activities like using data to populate reports. Predicting future values is one of the requirements for any business organization. The experimental results shows that time series model with ARIMA (3,0,1)(1,0,0) is best fitted for predicting future values of the sales.

     

  • References

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      [3] David Dietrich et al. “Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Dataâ€, John Wiley & Sons, Inc.,pp:234-254 (2015).

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      [6] Vidyullatha P et al, “Knowledge Based Information Mining on Data using Statistical Approachesâ€, International Journal of Technology, Vol.8 , NO. 4(2016).

      [7] P.Srikanth et al , “Comparative analysis of ANFIS, ARIMA and Polynomial Curve Fitting for Weather Forecasting “ , International Journal of Science and Technology, Vol.9.No 15(2016).

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  • How to Cite

    Sagar Imambi, S., Vidyullatha, P., V.B.T.Santhi, M., & Haran Babu, P. (2018). Explore Big Data and Forecasting Future Values using Univariate Arima Model in R. International Journal of Engineering & Technology, 7(2.7), 1107-1110. https://doi.org/10.14419/ijet.v7i2.7.12300