Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE
Fuente:
arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2021
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| _version_ | 1866910408054407168 |
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| author | Ahmad, Syed Farhan Hermayen, Amrah Bhavani, Ganga |
| author_facet | Ahmad, Syed Farhan Hermayen, Amrah Bhavani, Ganga |
| contents | Knowledge Discovery plays a very important role in analyzing data and getting insights from them to drive better business decisions. Entrepreneurship in a Knowledge based economy contributes greatly to the development of a country's economy. In this paper, we analyze surveys that were conducted on women in entrepreneurship in UAE. Relevant insights are extracted from the data that can help us to better understand the current landscape of women in entrepreneurship and predict the future as well. The features are analyzed using machine learning to drive better business decisions in the future. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2103_11430 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE Ahmad, Syed Farhan Hermayen, Amrah Bhavani, Ganga Machine Learning Knowledge Discovery plays a very important role in analyzing data and getting insights from them to drive better business decisions. Entrepreneurship in a Knowledge based economy contributes greatly to the development of a country's economy. In this paper, we analyze surveys that were conducted on women in entrepreneurship in UAE. Relevant insights are extracted from the data that can help us to better understand the current landscape of women in entrepreneurship and predict the future as well. The features are analyzed using machine learning to drive better business decisions in the future. |
| title | Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2103.11430 |