Sažetak At the era of digital transformation, fraud has dramatically increased, notably in the
banking industry. Annually, it now costs the world's economies billions of dollars. Daily …

The use of machine learning (ML) methods has been widely discussed for over a decade.
The search for the optimal model is still a challenge that researchers seek to address …

This study attempts to investigate the demand for the adoption of telemarketing practices for
promoting long-term bank deposits to potential bank customers. The study explored the …

Having a reliable understanding of bank telemarketing performance is of great importance in
the modern world of economy. Recently, machine learning models have obtained high …

One main potential objective for financial corporations is to retain long-term customers.
Configuring customer knowledge is no doubt mandatory to lower the risk level. Loans and …

In banking sectors, telemarketing is the major support of selling the products or services.
Banking advertisement and marketing are mainly depending upon the comprehensive …

The implementation of e-CRM in e-tail Organization cannot be overlooked. This will act as a
boon for technological infrastructural development. In this research paper we try to highlight …

The cut-throat competition in the banking industry has led to the paradigm shift of banking
strategies from conventional methods towards state-of-the-art data mining and machine …

Big data analytics is rising machinery which has become a conventional market widely
affected by corporate firms in order to simplify data that help in decision making. Big data …

Accurately classifying bank term deposit acceptance is critical for optimizing marketing
strategies. This study proposes a novel Stacked Ensemble Learning (SEL) approach to …