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[HTML][HTML] Artificial intelligence marketing (AIM) for enhancing customer relationships
Based on the literature, we present an artificial intelligence marketing (AIM) framework that
enables autonomous machines to receive big data and information, use artificial intelligence …
enables autonomous machines to receive big data and information, use artificial intelligence …
A review on machine learning methods for customer churn prediction and recommendations for business practitioners
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …
continuously evolve, leading to increased customer churn. Effectively anticipating and …
Artificial intelligence and marketing: Pitfalls and opportunities
This article discusses the pitfalls and opportunities of AI in marketing through the lenses of
knowledge creation and knowledge transfer. First, we discuss the notion of “higher-order …
knowledge creation and knowledge transfer. First, we discuss the notion of “higher-order …
[HTML][HTML] Customer churning analysis using machine learning algorithms
Businesses must compete fiercely to win over new consumers from suppliers. Since it
directly affects a company's revenue, client retention is a hot topic for analysis, and early …
directly affects a company's revenue, client retention is a hot topic for analysis, and early …
[HTML][HTML] A data-driven approach to improve customer churn prediction based on telecom customer segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
[HTML][HTML] A neural network-based predictive decision model for customer retention in the telecommunication sector
Acquiring a new customer is far more expensive than retaining a customer. Hence, customer
retention is a key aspect of business for a firm to maintain and improve on its market share …
retention is a key aspect of business for a firm to maintain and improve on its market share …
A statistical analysis of factors affecting higher education dropouts
One of the most significant indicators for assessing the quality of university careers is the
dropout rate between the first and second year. Both literature on the subjects and the …
dropout rate between the first and second year. Both literature on the subjects and the …
A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model
Nowadays, customer churn issues are becoming more and more important, which is one of
the most important metrics for evaluating the health of a business it is difficult to measure …
the most important metrics for evaluating the health of a business it is difficult to measure …
[PDF][PDF] A survey on customer churn prediction in telecom industry: Datasets, methods and metrics
In this competitive world, business is becoming highly saturated. Especially, the field of
telecommunication faces complex challenges due to a number of vibrant competitive service …
telecommunication faces complex challenges due to a number of vibrant competitive service …
Applying over 100 classifiers for churn prediction in telecom companies
In today's date where machine learning is the key to solve so many problems in different
fields, one really should know the extent of its importance in their field. One of the major …
fields, one really should know the extent of its importance in their field. One of the major …