Customer segmentation via data mining techniques: state-of-the-art review
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 …
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 …
customers in organizations, and organizations use different E-CRM methods to create …
[PDF][PDF] Mining profitability of telecommunication custormers using k-means clustering
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 …
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
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 …
(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 …
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 …
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 …
preferences and consumer attitudes change with age and experience. In the generalization …
[PDF][PDF] ICT in Food Processing Industry
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 …
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 …
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 …
na utilização de aplicativos nestes dispositivos ao longo dos último anos. Além disso, a …