PAPER SENDING SUBSCRIPTION

Search engine :

DYNA JOURNAL ENGINEERING

Skip to the menu
Skip to the content

Return to the menu

Search

Vote:

Results:

0 points

0 Votes

PREDICTIVE MODELS AT SERVICE OF CHURN RATE REDUCTION

JANUARY 2021 - Volume: 96 - Pages: 14

DOI:

http://dx.doi.org/10.6036/9859

Authors:

CARLOS ROMERO-CAMACHO BASELGA -

RAQUEL CARO CARRETERO

Disciplines:

INFORMATION TECHNOLOGY AND KNOWLEDGE (INTELIGENCIA ARTIFICIAL Y SIMULACION )

Downloads: 12

How to cite this paper:

Interested in this item? You can purchase the item through the payment platform PayPal or credit card (VISA, MasterCard, ...) for 20 €.

Key words:: churn rate, inteligencia artificial, ensamble, estimador, modelo predictivo, oversampling, undersampling, datos desequilibrado, artificial intelligence, assembly, estimator, predictive model
Article type:: NOTA TECNICA / TECHNICAL NOTE
Section:: TECHNICAL NOTE

Studying the percentage of customers or subscribers who stop using their services during a given period, known as churn rate, is allowing companies to detect patterns of behavior associated with their customers' desire to stay.

Share:

Twittear

Tweets por el @revistadyna.

Anunciarse en DYNA

© Engineering Journal Dyna 2025 - UK Zhende Publishing Limited

Address: Unit 7 Wilsons Business Park, Manchester M40 8WN United Kingdom

Email: office@revistadyna.com