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

Syed Farhan Ahmad, Amrah Hermayen, G. Bhavani
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Abstract

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.
机器学习在调查中的知识发现:阿联酋女性创业案例研究
知识发现在分析数据并从中获得见解以推动更好的业务决策方面发挥着非常重要的作用。知识经济中的企业家精神对一个国家的经济发展有着重要的贡献。在本文中,我们分析了对阿联酋女性创业进行的调查。从数据中提取出相关的见解,可以帮助我们更好地了解女性创业的现状,并预测未来。使用机器学习对这些特征进行分析,以推动未来更好的业务决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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