基于机器学习的调查知识发现：以阿联酋女性创业为例
Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE
AI总结：
该研究以阿联酋女性创业调查为对象，运用机器学习方法分析调查数据特征、提取洞见，以明晰当地女性创业现状、预测未来趋势，助力更优商业决策制定。
摘要：
知识发现在分析数据、从中挖掘洞见以推动更优商业决策方面发挥着重要作用。知识经济中的创业活动对一国经济发展贡献巨大。本文分析了针对阿联酋女性创业开展的调查，从数据中提取相关洞见，帮助我们更好地了解女性创业的当前格局并预测未来趋势。研究通过机器学习分析特征，以在未来推动更优的商业决策。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
