The investigation of accuracy level prediction of Fintech customers loyalty by using data mining algorithm

H Babakhanian, SA Amin Mousavi… - … Journal of Nonlinear …, 2023 - ijnaa.semnan.ac.ir
The emergence of mobile applications is forcing ambitious companies hoping to build
loyalty for customers' brands to rush towards marketing their brand applications. The present …

[PDF][PDF] Customer Loyalty evaluation and prediction based on decision tree and artificial neural network: Case of Ofogh koorosh stores in tehran

AE Haghighi, A Shirazi - … Journal of Engineering Management & Applied …, 2020 - tuengr.com
Today is no longer the age of loyalty of the six, neither ccustomer loyalty, employee loyalty,
management loyalty, loyalty to society and principles, etc. Many studies have shown that …

Predicting customer loyalty using machine learning for hotel industry

IZP Hamdan, M Othman - Journal of Soft Computing and Data …, 2022 - penerbit.uthm.edu.my
The popularity of machine learning is growing and the demand for it is increasing in various
fields including tourism and hospitality industry specifically hotels industry. The purpose of …

Survey the effect of fintech companies' profitability enhancement on winning customers' loyalty using an artificial intelligence-based optimization algorithm

MR Babakhanian, SA Amin Mousavi… - … Journal of Nonlinear …, 2023 - ijnaa.semnan.ac.ir
The financial technologies currently known as Fintech refer as a significant innovation to the
firms that combine financial services with innovative technologies. More precisely, Fintech …

Implementation of data mining using C4. 5 Algorithm for predicting customer loyalty of PT. Pegadaian (Persero) Pati Area Office

R Muttaqien, MG Pradana, A Pramuntadi - International Journal of …, 2021 - ijcis.net
PT Pegadaian (Persero) is engaged in the business of providing credit services with pawn,
non-pawning and gold investment products. One of the right marketing strategies to survive …

Repo Prosiding: Implementation of Dynamic Mutual Information and Support Vector Machine for Customer Loyalty Classification

H Sulistiani, K Muludi, A Syarif - IOP Conf. Series: Journal of … - repository.lppm.unila.ac.id
Fast Moving Consumer Goods (FMCG) is known one of the important industrial sectors
worldwide. It includes household and personal care products as well as processed foods …

Combined structural equation modelling–artificial neural networks model for predicting customer loyalty

MA Hadiyat - IOP conference series: materials science and …, 2019 - iopscience.iop.org
Customer loyalty becomes considerations by service providers to maintain for reducing the
churn rate. Many studies propose factors that are significantly influencing customer loyalty …

C4. 5 Algorithm Application For Prediction 0f Customer Satisfaction Accuracy In PT. Pico Jaya Telesindo

A Maulana - … on Computer Science and Engineering (IC2SE), 2021 - ieeexplore.ieee.org
PT Pico Jaya Telesindo is one of the distributors who sell mobile accessories products. In
2019, it is known that sales of handphone accessories products sold do not always increase …

Prediction of Brand Loyalty on Supervised Machine Learning Algorithms

VR Madireddy - International Journal of Advanced Research in …, 2021 - papers.ssrn.com
Abstract Supervised Machine Learning (SML) is the quest for algorithms that explanation
from remotely provided occurrences to deliver general speculations, which then make …

Classification of potential customers using C4. 5 and k-means algorithms to determine customer service priorities to maintain loyalty

NH Syani, A Amirullah, MB Saputro… - Journal of Soft …, 2022 - shmpublisher.com
The increasing competition among Middle-Class Micro Enterprises (MSMEs) is a problem
because business actors must improve techniques and strategies to maintain customer …