Open AccessPossible Solutions to the Problems of Microfinance Organizations with the Application of Intelligent Methods of Machine Learning
Author(s) -
Золотарюк Анатолий Васильевич,
Чечнева Ирина Александровна
Publication year - 2018
Publication title -
mir novoj èkonomiki
Language(s) - English
Resource type - Journals
eISSN - 2220-7872
pISSN - 2220-6469
DOI - 10.26794/2220-6469-2018-12-2-66-71
Subject(s) - microfinance , computer science , subject (documents) , field (mathematics) , machine learning , artificial intelligence , work (physics) , risk analysis (engineering) , knowledge management , business , engineering , mathematics , economics , world wide web , mechanical engineering , pure mathematics , economic growth
The authors consider the problems associated with the activities of microfinance organizations, and directions to eliminate them. The subject of the study is the need to introduce machine learning to solve urgent problems. Machine learning methods are increasingly being implemented to analyze financial and economic information, which reduces and eliminates some of the difficulties. Although currently these methods are not widely used in the field of microfinance institutions (MFIs), there are opportunities for their application. The aim of the work is to determine the prospects for the use of these methods in MFOs. The article describes the subject area of research, associated with MFIs. The authors identify the main groups of problems related to MFOs, consider the possibility of introducing machine learning for data analysis in this area and determine the main directions of the possible use of machine learning for MFIs. The authors concluded that such methods are applicable for assessing the performance of MFIs.