Exploring the Influence of Microfinance on Entrepreneurship using machine learning techniques
- سال انتشار: 1402
- محل انتشار: فصلنامه مدیریت فناوری اطلاعات، دوره: 15، شماره: 0
- کد COI اختصاصی: JR_JITM-15-0_008
- زبان مقاله: انگلیسی
- تعداد مشاهده: 62
نویسندگان
Department of commerce and Business Studies, Jamia Millia Islamia, New Delhi, India.
Department of commerce and Business Studies, Jamia Millia Islamia, New Delhi, India.
Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India.
چکیده
Microfinance institutions in India provide a set of financial services to the economically weaker sections. Recently, a large number of microfinance institutions have emerged in India and they have favorable impact for poverty reduction. The impact of these institutions on entrepreneurship and society, needs to be explored in greater depth. The objective of this study is to apply machine learning techniques to explore this impact. The research uses a MIX dataset for three successive years, namely ۲۰۱۷, ۲۰۱۸, and ۲۰۱۹. This dataset comprises eight variables centered on gross loan portfolio. Principal Component Analysis (PCM) has been applied on the sample dataset for dimensionality reduction, resulting in two main components and each component consist of fraction from eight variables. Then, the sample dataset has been labelled with the help of clustering using K-means clustering technique. Further, classification models based on K-Nearest Neighbors (KNN) algorithm and Support Vector Machine (SVM) are applied to predict the appropriate category of entrepreneurship. The experiment result shows that the machine learning techniques have been found effective and useful tools for estimating the impact of microfinance on entrepreneurship in India.کلیدواژه ها
Microfinance, Entrepreneurship, Principal Component Analysis (PCM), k-means clustering, K-Nearest Neighbors (KNN), Support Vector Machine (SVM)اطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.