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

TL;DR

This paper applies machine learning techniques to analyze survey data on women entrepreneurs in UAE, extracting insights to inform better business decisions and understand the current landscape and future trends.

Contribution

It introduces a novel application of machine learning for knowledge discovery in survey data specifically focused on women in entrepreneurship in UAE.

Findings

Insights into the current state of women entrepreneurs in UAE

Predictive models for future trends in women entrepreneurship

Enhanced decision-making capabilities for stakeholders

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.