The expanding availability of data in the financial sector promises to take the performance of
machine learning models to a new level. However, given the high business value and …

Credit scoring is used to help financial institutions control default risks and reduce economic
losses, and a variety of mainstream machine learning and data mining algorithms have …

Lending Club has become a popular P2P lending platform in America and has increased
with a total loan of $13.4 billion in 2015. However, the development of the P2P market with …

In recent years, credit scoring has gained significant attention as an essential process in the
financial industry. With the growing adoption of machine learning techniques in different …

With the development of artificial intelligence technology, the assessment method based on
machine learning, especially the ensemble learning method, has attracted more and more …

В данном исследовании рассматриваются решение задачи поиска идентичных
товаров для электронной торговой площадки. Данная задача является одной из …

This paper scrutinize the solution of the problem of matching identical products for an
electronic trading platform. This task is one of the components of the recommendation …

Abstract Machine learning (ML) is another branch of technology deemed valuable in the
financial sector because of its ability to assist organisations in identifying fraudulent …

1.1 Objective The main aim of this paper is to uncover the extent to which machine learning
has been researched in the context of the issues, challenges, and impacts of implementing …