An interpretable machine learning Framework for customer churn Prediction: A case study in the telecommunications industry

Mohammad Javad Jafari; M. J. Tarokh; Paria Soleimani

Volume 10, Issue 1 , July 2023, , Pages 141-157

  Customer churn prediction has been gaining significant attention due to the increasing competition among mobile service providers. Machine learning algorithms are commonly used to predict churn; however, their performance can still be improved due to the complexity of customer data structure. Additionally, ...  Read More

Developing an urban congestion pricing model by considering sustainability improvement and using a multi-objective optimization approach

Mansooreh Iravani; Reza Bashirzadeh; M. J. Tarokh

Volume 7, Issue 2 , August 2020, , Pages 56-76

  This paper introduces a Travel Demand Management (TDM) model in order to decrease the transportation externalities by affecting on passengers’travel choices. Thus, a bi-objective bi-modal optimization model for road pricing is developed aiming to enhance environmental and social sustainability ...  Read More

A New Model to Speculate CLV Based on Markov Chain Model

M. J. Tarokh; Mahsa EsmaeiliGookeh

Volume 4, Issue 2 , December 2017, , Pages 85-102

  The present study attempts to establish a new framework to speculate customer lifetime value by a stochastic approach. In this research the customer lifetime value is considered as combination of customer’s present and future value. At first step of our desired model, it is essential to define ...  Read More