Customer segmentation via data mining techniques: state-of-the-art review

S Das, J Nayak - … Intelligence in Data Mining: Proceedings of ICCIDM …, 2022 - Springer
Customers are more vigilant, intelligent, and dynamic in society. They change their
preferences and habits according to their needs. Knowing the needs of customers is an …

The impact of E-CRM on customer loyalty using data mining techniques

H Rangriz, Z Bayrami Shahrivar - Business Intelligence Management …, 2019 - ims.atu.ac.ir
With the expansion of the Internet, various tools have been used to communicate with
customers in organizations, and organizations use different E-CRM methods to create …

[PDF][PDF] Mining profitability of telecommunication custormers using k-means clustering

HI Arumawadu, RM Rathnayaka, SK Illangarathne - 2015 - repository.rjt.ac.lk
Data mining is the powerful technique, which can be widely used for discovering the
customers' behaviors as well as customer's preferences. As a result, it has been widely used …

Tail risk transmission: A study of the Iran food industry

F Mojtahedi, SM Mojaverian, DF Ahelegbey, P Giudici - Risks, 2020 - mdpi.com
This paper extends the extreme downside correlation (EDC) and extreme downside hedge
(EDH) methodology to model the interdependence in the sensitivity of assets to the …

A Machine Learning Approach to Classify the Telecommunication Customers Based on Their Profitability

S Mishoba, K Banujan, S Prasanth… - … Social-CRM) in the Era of …, 2022 - igi-global.com
Customer profitability is one of the most critical problems faced by businesses today.
Keeping an existing customer is more valuable than gaining a new subscriber in the …

Influencia del pre-procesamiento de datos dentro del desempeño de modelos de perfilamiento de clientes elaborados con herramientas de minería de datos

PCF Alarcón, SLR Martínez - 2016 IEEE 11th Colombian …, 2016 - ieeexplore.ieee.org
In this research we aim to understand, associate and quantitatively identify the performance
of customer profiling models with data pre-processing techniques, as well as specify best …

Customer Segmentation Based on Machine Learning Methods

Z Wang - Highlights in Science, Engineering and Technology, 2024 - drpress.org
In recent years, as times change, consumer behavior continues to change rapidly, and their
preferences and consumer attitudes change with age and experience. In the generalization …

[PDF][PDF] ICT in Food Processing Industry

J Bednář, J Vrchota, L Rolínek - 2020 - researchgate.net
Food industry is currently introducing fully automated production, similar to automotive
industry for example. The food processing is a traditional part of processing industry of the …

Customer segmentation using a developed RFM model: An application in a rug&carpet manufacturing company

YG İmdad - 2022 - acikerisim.agu.edu.tr
Data science has gained enormous importance by contributing to the in-depth
understanding and interpretation of information. Especially companies consult on data …

Um framework para identificação e monitoramento de perfis e comportamentos de consumidores baseado no uso de aplicativos em dispositivos móveis

NLR Machado - 2019 - meriva.pucrs.br
É possível observar um crescimento significativo no uso de dispositivos móveis, bem como
na utilização de aplicativos nestes dispositivos ao longo dos último anos. Além disso, a …