[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119211-en":3,"doc-seo-119211-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119211,1099514068035,"Ezra","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c",8,"Research & Report","Knowledge Discovery in Surveys using Machine Learning - A Case Study of Women in Entrepreneurship in UAE","Knowledge Discovery plays a central role in analyzing survey data and turning it into actionable insights that support stronger business decisions. Entrepreneurship in a knowledge-based economy significantly influences national growth. This work analyzes UAE surveys about women in entrepreneurship, extracting relevant insights to understand the current landscape and forecast future dynamics. Machine learning is used to examine features and support better prediction-oriented decision-making.","Knowledge Discovery in Surveys using Machine Learning: A Case Study of Women in Entrepreneurship in UAE  \nSyed Farhan Ahmad 1,2  \n1. Department of Electronics and Communication Engineering, RVCE, Bangalore, India  \n2. QPower Research, Salt Lake City, Utah, United States  \n[syedfarhana.ec18@rvce.edu.in](syedfarhana.ec18@rvce.edu.in)  \nAmrah Hermayen 1,2  \n1. Amity University, Dubai, UAE  \n2. QPower Research, Salt Lake City, Utah, United States  \n[amrahH@amitydubai.ae](amrahH@amitydubai.ae)  \nGanga Bhavani Department of Management and Commerce, Amity University, Dubai, UAE  \n[gbhavani@amityuniversity.ae](gbhavani@amityuniversity.ae)  \nAbstract—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.  \nKeywords—Knowledge Discovery, Machine Learning, Survey Analysis, Women in Entrepreneurship, UAE, Logistic Regression, Naïve Bayes, Decision Tree Learning, LDA, k Nearest Neighbors Classifier  \nI. INTRODUCTION  \nThe word entrepreneur is derived from a French verb which can be translated as “to undertake”. An entrepreneur is the one who begins a new business, manages its risks and enjoys most of its rewards. They have the skills to anticipate the future needs of their customers, and accordingly they bring new ideas to the market thereby increasing the country’s GDP.  \nEconomists never included entrepreneurship in their formal models of classical economy until the 20th century as they believed that there is no room for risk taking in economics. However, this trend changed from the mid-20th century, when they realized that entrepreneurship improves the national economy and lives of the people by creating new jobs, solutions to problems and acceleration to globalization.  \nIn 2005, Global Entrepreneurship Monitor confirmed that women’s participation in entrepreneurial activities across 37 GEM countries has led to the establishment of multiple enterprises for job and wealth creation, making women entrepreneurship a central aspect of economic development and public policy concerns [ 1] . Prior research suggests that female entrepreneurs make less money compared to men as they face more obstacles. China, Greece, Malaysia, Portugal, Turkey, and the UK have reported multiple obstacles ranging from sexual stereotyping, lesser access to capital, to lack of  \nentrepreneurial education and social and cultural impediments. In UAE, women actively participate in business and entrepreneurial activities.  \nMachine Learning is the art of learning the patterns in data and making sense out of databases. It is a vital tool for gaining insights from datasets to drive business decisions. In this paper, we have analyzed the survey, mentioned in Section 4, conducted regarding women in entrepreneurship in UAE, using Machine Learning algorithms and have tried to make the right predictions about the choice of women when it comes to entrepreneurship.  \nThe paper has been divided in the following manner. Section 2 present the research that has happened in the field of entrepreneurship for women till now. Section 3 builds up on the main topic by mentioning about the background of women in entrepreneurship and the surveys conducted in UAE for the same. Section 4 presents the questions and the results of the survey that was conducted in UAE, to facilitate this research.  \nSection 5 depicts the experimental methodology used to analyse the data and gather insights using several Machine Learning models. Section 6 discusses and compares t","cbCaieUIVzEWjMfd","https://ap.wps.com/l/cbCaieUIVzEWjMfd","pdf",1191838,1,6,"English","en",105,"# Introduction\n# Literature Review\n# Survey Questions and Results\n## Experimental Methodology\n## Model Comparison and Discussion\n# Conclusion and Future Work","[{\"question\":\"What is the main goal of the study on women in entrepreneurship in the UAE?\",\"answer\":\"The study extracts insights from UAE surveys and uses machine learning to predict and better understand the future landscape of women in entrepreneurship.\"},{\"question\":\"Which methods are used to analyze the survey data?\",\"answer\":\"The paper employs multiple machine learning algorithms for feature analysis and prediction/classification tasks, including Logistic Regression, Naïve Bayes, Decision Tree Learning, LDA, and k Nearest Neighbors Classifier.\"},{\"question\":\"How is the paper structured after the introduction?\",\"answer\":\"It includes a literature review, then presents survey questions and results, followed by experimental methodology, comparison of model results, and concluding remarks with possible future work.\"}]","Knowledge Discovery in Surveys using Machine Learning - A Case Study of Women in Entrepreneurship in UAE | PDF",1785723113,15,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"knowledge-discovery-in-surveys-using-machine-learning-a-case-study-of-women-in-entrepreneurship-in-uae","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/knowledge-discovery-in-surveys-using-machine-learning-a-case-study-of-women-in-entrepreneurship-in-uae/119211/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the main goal of the study on women in entrepreneurship in the UAE?","Question",{"text":75,"@type":76},"The study extracts insights from UAE surveys and uses machine learning to predict and better understand the future landscape of women in entrepreneurship.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which methods are used to analyze the survey data?",{"text":80,"@type":76},"The paper employs multiple machine learning algorithms for feature analysis and prediction/classification tasks, including Logistic Regression, Naïve Bayes, Decision Tree Learning, LDA, and k Nearest Neighbors Classifier.",{"name":82,"@type":73,"acceptedAnswer":83},"How is the paper structured after the introduction?",{"text":84,"@type":76},"It includes a literature review, then presents survey questions and results, followed by experimental methodology, comparison of model results, and concluding remarks with possible future work.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":111,"show_sort_weight":112,"slug":113},"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]