Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE
This work addresses knowledge discovery for policymakers or businesses focusing on women's entrepreneurship in the UAE, but it appears incremental as it applies existing methods to new survey data.
The paper tackled the problem of analyzing survey data on women entrepreneurs in the UAE to extract insights and predict future trends, using machine learning to support business decisions, but no concrete numbers were provided.
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.