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A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value · Study

WorkA Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value

Kannan Kumaran2022

Work2022

A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value

Kannan Kumaran · Pramod Pathak · Rejwanul Haque · Paul Stynes

6 citations·0/0 files stored·Lecture notes in computer science

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Customer churn and segmentation Customer Service Quality and Loyalty Data Mining and Machine Learning Applications

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References

2018Customer Segmentation using K-means Clustering 2020An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm 2019Analysis for Customer Lifetime Value Categorization with RFM Model 2012Customer Lifetime Value: A Review 2020Predicting Customer Class using Customer Lifetime Value with Random Forest Algorithm 2018Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization

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2021RFID: A Fuzzy Linguistic Model to Manage Customers from the Perspective of Their Interactions with the Contact Centerarticle · 2 shared references 2023Customer Segmentation Using K-Means Clustering Algorithm and RFM Modelarticle · 2 shared references 2023Customer Segmentation of Personal Credit using Recency, Frequency, Monetary (RFM) and K-means on Financial Industryarticle · 2 shared references 2024Application Of K-Means Clustering For Customer Segmentation In Grocery Stores In Kenyaarticle · 2 shared references 2025Effective customer segmentation using the recency, frequency, and monetary framework, combined with density-based clusteringarticle · 2 shared references 2021Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkeyarticle · 2 shared references

Details

Year2022

Typeother

Published2022-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations6

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1007/978-3-031-24094-2_6

openalex_workW4320151817

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