Machine learning techniques for credit risk evaluation: a systematic literature review
Credit risk is the risk of financial loss when a borrower fails to meet the financial commitment.
While there are many factors that constitute credit risk, due diligence while giving loan (credit …
While there are many factors that constitute credit risk, due diligence while giving loan (credit …
[HTML][HTML] Investigating customer churn in banking: A machine learning approach and visualization app for data science and management
Customer attrition in the banking industry occurs when consumers quit using the goods and
services offered by the bank for some time and, after that, end their connection with the bank …
services offered by the bank for some time and, after that, end their connection with the bank …
A MapReduce opinion mining for COVID-19-related tweets classification using enhanced ID3 decision tree classifier
F Es-Sabery, K Es-Sabery, J Qadir… - IEEE …, 2021 - ieeexplore.ieee.org
Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture
human sentiment in the given text. With the ever-spreading of online purchasing websites …
human sentiment in the given text. With the ever-spreading of online purchasing websites …
Anomalies prediction in radon time series for earthquake likelihood using machine learning-based ensemble model
The ability to predict the radioactive soil radon gas concentration is important for human
beings because it serves as a precursor to earthquakes. Several studies have been …
beings because it serves as a precursor to earthquakes. Several studies have been …
Fraud detection in payments transactions: Overview of existing approaches and usage for instant payments
A Diadiushkin, K Sandkuhl… - … Systems Informatics and …, 2019 - csimq-journals.rtu.lv
Financial industries are undergoing a digital transformation of their products, services,
overall business models. Part of this digitalization in banking aims at automating most of the …
overall business models. Part of this digitalization in banking aims at automating most of the …
Improve profiling bank customer's behavior using machine learning
EAE Dawood, E Elfakhrany, FA Maghraby - Ieee Access, 2019 - ieeexplore.ieee.org
In the banking industry, credit card evolution is a noticeable occurrence. Each banking
system includes a huge dataset for customer's transactions of their credit cards. Therefore …
system includes a huge dataset for customer's transactions of their credit cards. Therefore …
A machine learning approach to evaluate the performance of rural bank
J Wei, T Ye, Z Zhang - Complexity, 2021 - Wiley Online Library
In the current performance evaluation works of commercial banks, most of the researches
only focus on the relationship between a single characteristic and performance and lack a …
only focus on the relationship between a single characteristic and performance and lack a …
[PDF][PDF] A Comparison of Machine Learning Algorithms and their Applications.
J Charoenpong, B Pimpunchat… - International Journal of …, 2019 - ijssst.info
Machine Learning is one of Data mining. Machine Learning has recently been applied in
many areas such as a disease like cancer, education, agriculture, environment, business …
many areas such as a disease like cancer, education, agriculture, environment, business …
[PDF][PDF] Bankacılık hizmetlerinde yapay zekâ kullanımı
Aİ Akbaba, Ç Gündoğdu - Journal of Academic Value Studies, 2021 - academia.edu
Özet Sanayileşme sürecinin dördüncü adımı olan endüstri 4.0 ileri teknolojileri içeren
bileşenleriyle, bilgisayar programları ve makineleri kullanarak hizmet ve ürün üretiminde …
bileşenleriyle, bilgisayar programları ve makineleri kullanarak hizmet ve ürün üretiminde …
Application of Artificial Intelligence in Indian Banks
AK Tiwari, D Saxena - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) and Machine Learning (ML) have emerged as the most significant
technologies of our times and are increasingly being used across businesses and industry …
technologies of our times and are increasingly being used across businesses and industry …