Results 81 to 90 of about 3,473 (211)
The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju +2 more
doaj
The banking industry faces significant challenges, from high customer churn rates to threatening long-term revenue generation. Traditionally, churn models assess service quality using customer satisfaction metrics; however, these subjective variables ...
Tahsien Al-Quraishi +4 more
doaj +1 more source
ABSTRACT Sentiment analysis of movie reviews reflects users' behavioral preferences and emotional responses to films, aiding in understanding audience needs and enhancing user experience. In recent years, deep ensemble learning has significantly improved sentiment polarity prediction by combining multiple deep models.
Hanzhe Cai, Ze Wu, Seena Joseph
wiley +1 more source
Decision Threshold Setting in Binary Classification Problems—A Behavioral Lens
ABSTRACT When binary classification models are wrong, managers face misclassification costs. Although false positive outcomes imply unnecessary mitigation efforts, false negative outcomes imply overlooking the class of interest. Humans calibrate these ai models supporting operational systems by adjusting the decision threshold that translates ...
Patrick Moder, Kai Hoberg, Felix Papier
wiley +1 more source
A comprehensive survey on customer churn analysis studies
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 +4 more
doaj +1 more source
Diasporic Threads in the Age of Ultra‐Fast Fashion: A Response to Hardill and Raghuram (1998)
ABSTRACT This article revisits Hardill and Raghuram's 1998 paper, Diasporic Connections, to explore how the dynamics at the heart of the paper, including gendered labour, cultural inheritance and transnational entrepreneurship, resonate within a dramatically different fashion landscape of 2025.
Taylor Brydges +2 more
wiley +1 more source
The evaluation of the relationship with the customer and related benefits has become akey point for a company’s competitive advantage. Consequently, interest in keyconcepts, such as customer lifetime value and churn has increased over the years.However ...
de Oliveira Lima, Elen
core
Prediction of Customer Behavior Changing via a Hybrid Approach
This study proposes a hybrid approach to predict customer churn by combining statistic approaches and machine learning models. Unlike traditional methods, where churn is defined by a fixed period of time, the proposed algorithm uses the probability of ...
Nien-Ting Lee +3 more
doaj +1 more source
Abstract Trust and fairness are critical to the sustainable development of the sharing economy, particularly in platform–supplier relationships, where numerous individual suppliers offer access to their durable assets without transferring ownership. Motivated by the real‐world phenomenon of personalized wages and informed through direct interactions ...
Ying Yin, Xishu Li
wiley +1 more source

