| Autor: |
Sonu Mittal, Deepti Aggarwal, Vikram Bali |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
International Journal of Innovative Technology and Exploring Engineering. 8:342-349 |
| ISSN: |
2278-3075 |
| DOI: |
10.35940/ijitee.i1055.0789s19 |
| Popis: |
Predictive analysis comprises a vast variety of statistical techniques like “machine learning”, “predictive modelling” and “data mining” and uses current and historical statistics to predict future outcomes. It is used in both business and educational domain with equal applicability.This paper aims to give an overview of the top work done so far in this field. We have briefed on classical as well as latest approaches (using“machine learning”) in predictive analysis. Main aspects like feature selection and algorithm selection along with corresponding application is explained. Some of the most quoted papers in this field along with their objectives are listed in a table. This paper can give a good heads up to whoever wants to know and use predictive analysis for his academic or business application. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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