Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE

Fuente: arXiv
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Auteurs principaux: Ahmad, Syed Farhan, Hermayen, Amrah, Bhavani, Ganga
Format: Preprint
Publié: 2021
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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