Results 131 to 140 of about 9,090 (181)

Decoding brand sentiments: Leveraging customer reviews for insightful brand perception analysis using natural language processing and Tableau. [PDF]

PLoS One
Hu JJH, Ahmad F, Bader-El-Den M.
europepmc   +1 more source

Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar. [PDF]

Sci Rep
Hassan R, Kazemi MR.
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An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction prediction. [PDF]

Comput Struct Biotechnol J
Emmanuel J, Isewon I, Oyelade J.
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.
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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
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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
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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
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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
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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
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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
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