专题：Customer churn and segmentation

This cluster of papers focuses on customer equity management and prediction, utilizing data mining, machine learning, and segmentation techniques to understand customer churn, lifetime value, and profitability. It explores the impact of marketing strategies on customer retention and financial performance in various industries, particularly in telecommunications.
最新文献
Optimization Analysis of Multi-Party Benefit Maximization Paths in Market Transactions Based on Evolutionary Game Models

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A study of corporate merger and acquisition valuation based on data mining techniques: an empirical analysis in the context of big data

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Analysis and Prediction of E-commerce Users’ Purchasing Behavior Based on Logistic Regression Models

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Implementation of Association Rule Method for Promotion Strategy Using the Apriori Algorithm: Case Study: Snada Accessories Store

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Prediction of customer churn risk with advanced machine learning methods

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A Systematic Study on Recommendation System for E-Commerce Applications

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Promotion Strategy Optimization with Sales Data Analysis: Comparison of K-Means, K-Medoids, and Gaussian Mixture Models for Customer Segmentation

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Recommendation System for Boarding House Rental Using Greedy Algorithm

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Agricultural Futures Trading Decision Using AI Agent With Multiscale Candlestick Analysis

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Hybrid Machine Learning and NLP Approaches for Sentiment Productivity Analysis of Employees

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近5年高被引文献
E-Commerce Promotional Products Selection Using SWARA and TOPSIS

article Full Text OpenAlex 1548 FWCI1134.349

Progress in partial least squares structural equation modeling use in marketing research in the last decade

article Full Text OpenAlex 671 FWCI128.877

Customer churn prediction system: a machine learning approach

article Full Text OpenAlex 246 FWCI31.234

Applications of big data in emerging management disciplines: A literature review using text mining

review Full Text OpenAlex 223 FWCI18.453

Examination of the Criticality of Customer Segmentation Using Unsupervised Learning Methods

article Full Text OpenAlex 165 FWCI121.301

On the platform but will they buy? Predicting customers' purchase behavior using deep learning

article Full Text OpenAlex 118 FWCI30.673

Evaluating the impact of big data analytics usage on the decision-making quality of organizations

article Full Text OpenAlex 111 FWCI17.923

How does business analytics contribute to organisational performance and business value? A resource-based view

article Full Text OpenAlex 111 FWCI19.145

K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data

article Full Text OpenAlex 111 FWCI15.761

Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm

article Full Text OpenAlex 108 FWCI13.593