Results 151 to 160 of about 9,076 (200)

Cox proportional hazards model with Bayesian neural network for survival prediction. [PDF]

Sci Rep
Faghiri F, Kohansal A.
europepmc   +1 more source

Applications of Machine Learning (ML) in the context of marketing: a bibliometric approach. [PDF]

F1000Res
Cardona-Acevedo S, Agudelo-Ceballos E, Arango-Botero D, Valencia-Arias A, Ramírez Dávila JC, Jimenez Garcia JA, Flores Goycochea C, Martínez Rojas E.   +7 more
europepmc   +1 more source

Optimization of pharmacy membership management system based on big data: Sleeping member activation and awakening methods using ANN modeling.

Heliyon
Liang J, Zhou X, Yuan C, Chen Y.
europepmc   +1 more source

RETRACTED: Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

PLoS One
Filahi Y, Gul OM, Elghirani A, Arican E, Parlak IB, Kadry S, Karpouzis K.   +6 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Bank Customer Churn Prediction

Indian Journal of Data Mining, 2023
In the current challenging era, there is a stiff competition happening between the banking industries. To strengthen the grade and level of services they provide, banks focus on customer retention as well as the customer churning. Customer churning becomes one of the duties of corporate intelligences to speculate the number of customers leaving from ...
Jufin P A, Amrutha N
openaire   +2 more sources

Predict Churning Customers – An Explorative Study

2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 2022
Some banks and business managers are facing the problem of customer credit card attrition. Therefore, it was necessary to identify new strategies for banks and business managers to keep their customers satisfied. In this paper, we analyze the data from a fictitious data source available on Kaggle, to find out the reason behind this and to predict ...
Ferreira, Tomás, Pita, Pedro, Brito, Isabel   +2 more
openaire   +3 more sources

ADTreesLogit model for customer churn prediction

Annals of Operations Research, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou, Y, Li, L, Qi, J, Zhang, L, Liu, Y, Liang, L, Li, H, Shen, Y   +7 more
openaire   +4 more sources

Customer churn prediction in telecommunications

Expert Systems with Applications, 2012
This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service orders, complain information, etc.
Bingquan Huang, Mohand Tahar Kechadi, Brian Buckley   +2 more
openaire   +1 more source

Customer churn prediction in telecommunication

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
At recent years, estimating the churners before they leave has gained importance in environment of increased competition in company strategy. In this paper, churners are tried to detect by using data mining classification techniques. Attribute reductions are tried for decreasing the runtime and increasing achievement of models and performance was ...
Mumin Yildiz, Songul Albayrak
openaire   +1 more source

Adoption of Churn Recognition System to Predict Customer Churn

2023
In the cutthroat competitive arena, it is a very challenging task for any enterprise to make a balance between retaining its existing loyal customers and attracting new customers. It is a tedious task to find the right segment of active customers and understand the reason behind churn numbers. It is said that it is five times more costly to attract new
Yuvraj Sharma, Rajender Gurram, Naveen Saharan   +2 more
openaire   +1 more source