Reseach Article
A Review of Predictive Analytics: Techniques, Advantages, Related Works and Applications
| Journal of Advanced Artificial Intelligence |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 3 |
| Year of Publication: 2024 |
| Authors: Madhuri S. Desai, P.S. Deshpande |
10.5120/jaai202412
|
Madhuri S. Desai, P.S. Deshpande . A Review of Predictive Analytics: Techniques, Advantages, Related Works and Applications. Journal of Advanced Artificial Intelligence. 1, 3 ( Dec 2024), 1-6. DOI=10.5120/jaai202412
Abstract
Predictive analysis is the type of data analysis that help organisation predict future event by identifying patterns and its historical data. Predictive analytics uses data-mining, predictive modelling and machine learning techniques that an analysis of historic data and based on that analysis to predict the future. A model can be created to predict using Predictive Analytics modeling techniques. The form of these predictive models varies depending on the data they are using. Classification & Regression are the two main objectives of predictive analytics. Predictive Analytics is composed of various statistical & analytical techniques used to develop models that will predict future occurrence, events or probabilities. Predictive analytics is able to not only deal with continuous changes, but discontinuous changes as well. Classification, prediction, and to some extent, affinity analysis constitutes the analytical methods employed in predictive analytics.
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