A review on customer segmentation methods for personalized customer targeting in e-commerce use cases
M Alves Gomes, T Meisen - Information Systems and e-Business …, 2023 - Springer
The importance of customer-oriented marketing has increased for companies in recent
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …
Credit and Risk Analysis in the Financial and Banking Sectors: An Investigation
G Manoharan, S Durai, GA Rajesh… - Artificial Intelligence for …, 2023 - taylorfrancis.com
This research was carried out in order to conduct credit and risk analysis in the financial and
banking sectors. This analysis is carried out by a credit analyst on the borrowers in order to …
banking sectors. This analysis is carried out by a credit analyst on the borrowers in order to …
CEO monitoring and accounting record manipulation: Evidence from Slovak agriculture companies
T Kliestik, R Blazek, J Belas - Economics & Sociology, 2022 - ceeol.com
Many authors focus on detecting accounting record manipulation using various models and
investigating the reasons of accounting falsification and alteration. In general, the tax base is …
investigating the reasons of accounting falsification and alteration. In general, the tax base is …
Frame aggregation aware cluster based association management for heterogeneous users
BP Tewari - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
In this paper, a cluster based association management for heterogeneous users has been
addressed. The aim is to explore frame aggregation for the high throughput (HT) users such …
addressed. The aim is to explore frame aggregation for the high throughput (HT) users such …
A New Method of B2B Customer Segmentation Based on Firmographic Data, and RFM and Graph Models
AB Hadid, S Bouguelia… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Customer segmentation is a crucial aspect of mar-keting strategies. It enables companies to
tailor products and services to specific customer groups, thereby enhancing enterprise …
tailor products and services to specific customer groups, thereby enhancing enterprise …
Identification of common parameters for landslides using text mining approach
SL Bhutia, S Borah - International Journal of Data Analysis …, 2023 - inderscienceonline.com
The study focuses on the extraction of necessary parameters for developing a suitable
landslide susceptibility map (LSM) using text mining. The study applies text mining concepts …
landslide susceptibility map (LSM) using text mining. The study applies text mining concepts …
Credit Risk Assessment System Based on Deep Learning: A Systematic Literature Review
SP Hoyos Gutiérrez, FM Santos López - International Conference on …, 2023 - Springer
The credit risk classification of clients is an essential task in financial institutions, as it allows
the responsible officer to grant or deny a loan to a potential borrower. Therefore, the …
the responsible officer to grant or deny a loan to a potential borrower. Therefore, the …
Un método para la asignación de cupos de crédito de entidades del sector financiero colombiano empleando técnicas de machine learning
ED Saavedra Porras - repositorio.unal.edu.co
El análisis de riesgo de crédito desempeña un papel crucial en el sector financiero, ya que
evalúa variables que podrían deteriorarse en circunstancias particulares, llevando a un …
evalúa variables que podrían deteriorarse en circunstancias particulares, llevando a un …