Hyper-personalization for enhancing customer loyalty and satisfaction in Customer Relationship Management (CRM) systems

N Rane, S Choudhary, J Rane - Available at SSRN 4641044, 2023 - papers.ssrn.com
In the dynamic realm of customer-centric business models, organizations are increasingly
adopting advanced technologies and strategies to augment the capabilities of Customer …

A machine learning approach to credit card customer segmentation for economic stability

Y Qiu, J Wang - Proceedings of the 4th International Conference on …, 2024 - eudl.eu
Credit card usage is a vital component of the global economy, but unpredictable customer
behavior poses significant challenges. Machine learning (ML) has emerged as a powerful …

Towards performance overview of mini batch K-means and K-means: case of four-wheeler market segmentation

S Hanji, S Hanji - International conference on smart trends in computing …, 2023 - Springer
Market segmentation allows companies to target right product and advertising to the right
customers, thereby enhancing the performance of their marketing campaigns. Market …

The impact of air quality and meteorology on COVID-19 cases at Kuala Lumpur and Selangor, Malaysia and prediction using machine learning

J Jalaludin, WN Wan Mansor, NA Abidin, NF Suhaimi… - Atmosphere, 2023 - mdpi.com
Emissions from motor vehicles and industrial sources have contributed to air pollution
worldwide. The effect of chronic exposure to air pollution is associated with the severity of …

Pengelompokan Data Pendistribusian Listrik Menggunakan Algoritma Mini Batch K-Means Clustering: Grouping Electricity Distribution Data Using The Mini Batch K …

S Mulyadi, F Insani, S Agustian… - … : Indonesian Journal of …, 2024 - journal.irpi.or.id
Manajemen distribusi listrik merupakan aspek penting dalam infrastruktur yang memerlukan
pemahaman mendalam tentang pola distribusi di berbagai wilayah untuk memastikan …

An Ensemble Learning Based Strategy for Customer subdivision and Credit Risk Characterization

S Liu, G Wei, S Wu, Y Sun - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak Credit customer subdivisions and borrower characteristics are essential tools for
banks and lending companies to evaluate credit risk and make profits. This study proposes a …

[PDF][PDF] Designing and Implementing Intelligent Textual Plagiarism Detection Models

AAM Saeed - 2023 - researchgate.net
Plagiarism is known as presenting other works as one's own without making proper citation
or giving an explicit acknowledgment. The detection of plagiarism is interesting because it …

Implementation of Machine Learning and Deep Learning in Finance

D Celik, S Jain - Cybersecurity and Artificial Intelligence …, 2024 - Springer
Artificial intelligence, machine learning, and deep learning are powerful and intelligent
technologies that have prevalent applications in the finance domain. These technologies …

[PDF][PDF] XAI for unsupervised learning

J Kauffmann - 2024 - depositonce.tu-berlin.de
Unsupervised learning algorithms detect inherent patterns and relation ships in data without
requiring predefined target variables. Although unsu pervised learning algorithms have …

taxonomy of customers identification in the banking industry using machine learning: a systematic review with a Meta-synthesis Approach

E Baghani, S Elahi, A Hasanzadeh… - Iranian Journal of …, 2023 - jipm.irandoc.ac.ir
Purpose: Nowadays, customers in any industry are not just looking for a product and expect
to receive a personalized service based on their needs and create a different experience …