# Study for the Prediction of E-Commerce Business Market Growth using Machine Learning Algorithm

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/study-for-the-prediction-of-e-commerce-business-market-growth-using-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shilpi Kulshrestha,Madan Lal Saini |
| Citations | 21 |
| DOI | 10.1109/icraie51050.2020.9358275 |
| Fields | Business, Management and Accounting |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3135413164 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Madan Lal Saini](https://scholariq.org/researchers/madan-lal-saini/)

## Paper primary topic

- [Customer churn and segmentation](https://scholariq.org/topics/customer-churn-and-segmentation/)

## Paper topics

- [Customer churn and segmentation](https://scholariq.org/topics/customer-churn-and-segmentation/)
- [Consumer Retail Behavior Studies](https://scholariq.org/topics/consumer-retail-behavior-studies/)
- [Consumer Market Behavior and Pricing](https://scholariq.org/topics/consumer-market-behavior-and-pricing/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.