Predictive Analytics: A study of its Advantages and Applications

Authors

  • Mitanshi Rustagi Vivekanand Institute of Professional Studies
  • Neha Goel Vivekanand Institute of Professional Studies

DOI:

https://doi.org/10.51611/iars.irj.v12i01.2022.192

Keywords:

Predictive Analytics, Dataset, Machine Learning, Pattern Recognition

Abstract

The science of predictive analytics gives a line of future insight developed in the area of data analytics. Through predictive analytics, organizations or industries can identify the patterns within the data and make future forecasts on the basis of existing data and analytics techniques such as artificial intelligence, machine learning, pattern recognition. Machine Learning works on the idea of identifying the best suitable model for the data.

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References

Fatimetou Zahra Mohamad Mahmoud, “The application of Predictive Analytics: Benefits, Challenges & how it can be improved”, International Journal of Scientific and Research Publications, Volume 7, Issue 5, May 2017, ISSN 2250-3153.

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Sadegh Bafandeh Imandoust And Mohammad Bolandraftar,” Application of K-Nearest Neighbor (KNN) Approach for Predicting Economic Events: Theoretical Background”, S B Imandoust et al. Int. Journal of Engineering Research and Applications, Vol. 3, Issue 5, Sep-Oct 2013, pp.605-610.

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URL: www.predictiveanalyticstoday.com/predictive-modeling

Published

2022-02-28

Issue

Section

Peer Reviewed Research Manuscript

How to Cite

Rustagi, M. and Goel, N. (2022) “Predictive Analytics: A study of its Advantages and Applications”, IARS’ International Research Journal, 12(01), pp. 60–63. doi:10.51611/iars.irj.v12i01.2022.192.

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