Results 81 to 90 of about 9,076 (200)

Predicting customer's gender and age depending on mobile phone data

, 2019
In the age of data driven solution, the customer demographic attributes, such as gender and age, play a core role that may enable companies to enhance the offers of their services and target the right customer in the right time and place.
Aljoumaa, Kadan, AlZuabi, Ibrahim Mousa, Jafar, Assef   +2 more
core   +1 more source

DEPAS: A Decentralized Probabilistic Algorithm for Auto-Scaling

, 2012
The dynamic provisioning of virtualized resources offered by cloud computing infrastructures allows applications deployed in a cloud environment to automatically increase and decrease the amount of used resources.
Calcavecchia, Nicolo M., Caprarescu, Bogdan Alexandru, Di Nitto, Elisabetta, Dubois, Daniel J., Petcu, Dana   +4 more
core   +1 more source

E-commerce big data processing based on an improved RBF model

Journal of Intelligent Systems
In the dynamic landscape of China’s booming economy, the surge in e-commerce customer volume presents both opportunities and challenges, notably in managing customer churn (CC). Addressing this critical issue, this study introduces an innovative approach
Lu Qiuping
doaj   +1 more source

Research on Customer Churn Prediction Using Machine Learning Models [PDF]

SHS Web of Conferences
The percentage of consumers or subscribers that discontinue using a product or service within a given time frame is known as the “churn rate.” Hence, using machine learning models to estimate the number of possible churn consumers is crucial for ...
Jia Xiaolei
doaj   +1 more source

A comprehensive survey on customer churn analysis studies

Journal of Information and Telecommunication
This paper presents a comprehensive survey of customer churn analysis studies. It begins by examining the customer journey and touchpoints, emphasizing their influence on churn behaviour.
Maryam Shahabikargar, Amin Beheshti, Xuyun Zhang, Jin Foo, Alireza Jolfaei   +4 more
doaj   +1 more source

Building Combined Classifiers [PDF]

, 2008
This chapter covers different approaches that may be taken when building an ensemble method, through studying specific examples of each approach from research conducted by the authors.
Eastwood, Mark, Gabrys, Bogdan
core  

FairRAG: A Privacy-Preserving Framework for Fair Financial Decision-Making

Applied Sciences
Customer churn prediction has become crucial for businesses, yet it poses significant challenges regarding privacy preservation and prediction accuracy.
Rashmi Nagpal, Unyimeabasi Usua, Rafael Palacios, Amar Gupta   +3 more
doaj   +1 more source

CUSTOMER CHURN PREDICTION

IARJSET, 2021
Senthilnayaki B, Swetha M, Nivedha D
openaire   +1 more source

Modeling customer loyalty using customer lifetime value. [PDF]

The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Baesens, Bart, Croux, Christophe, Glady, N   +2 more
core  

Performance Analysis of Oversampling and Undersampling on Telco Churn Data Using Naive Bayes, SVM And Random Forest Methods [PDF]

E3S Web of Conferences
The telecommunications industry is a rapidly growing economic sector in today’s digital era. However, intense competition causes challenges in retaining customers.
Alif Muhammad Daffa Nur, Fahrudin Nur Fitrianti   +1 more
doaj   +1 more source