Finance sector loss can be minimized by reducing the number of defaulters who often miss
payments during debt collection. Most research focused on the credit risk analysis before …

Public transportation usage prediction is valuable for the sustainable development of
transportation systems, particularly in crowded megacities. Machine learning technologies …

La inmovilización social por la pandemia del COVID-19 provocó el traslado de muchos
estudiantes de instituciones privadas a estatales, debido a que sus responsables …

Automatic bill payment is an important part of business operations in fintech companies. The
practice of deduction was mainly based on the total amount or heuristic search by dividing …

In this study, we present a novel cost-sensitive approach for uplift modeling in the context of
cross-selling and workforce analytics. We leverage referrals from sales agents across …

We investigate applying and extending an exhaust data framework, using an empirical
analysis to explore and compare different predictive analytic capabilities of both internal and …

Muamalah is a part of Islamic teachings that regulate relations between individuals. One
activity in muamalah is ijarah, which is renting goods where the lessor receives rent or …

Predictive analytics is a methodology used to predict the outcome of future events with the
use of historical data. Predictive analytics comes in very handy in various fields such as …

Debt collection companies buy overdue debts on the market in order to collect them and
recover the highest possible amount of a debt. The pursuit of debt recovery by employees of …

Small and Medium-sized Enterprises (SMEs) are a collective group of organisations that
make a significant societal and economic impact globally. However, these organisations …