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Predicting Customer Churn Using Machine Learning in IT Startups · Study

WorkPredicting Customer Churn Using Machine Learning in IT Startups

В. В. Морозов2021

Work2021

Predicting Customer Churn Using Machine Learning in IT Startups

В. В. Морозов · Olga Mezentseva · Anna Kolomiіets · Maksym Proskurin

13 citations·0/0 files stored·Lecture notes on data engineering and communications technologies

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Customer churn and segmentation Customer Service Quality and Loyalty AI and HR Technologies

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References

2002Turning telecommunications call details to churn prediction: a data mining approach 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques 2017Customer agility and responsiveness through big data analytics for public value creation: A case study of Houston 311 on-demand services 2008Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers 1999Subscriber churn in the Australian ISP market 2008ADTreesLogit model for customer churn prediction 2011Software Industry Business Models

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2025Data-Driven Decision Support in SaaS Cloud-Based Service Models 2023Machine learning based churn analysis for sellers on the e-commerce marketplace 2026Predictive Analytics for Customer Churn in Salesforce Service Cloud

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2010Modeling customer churn in a non-contractual setting: the case of telecommunications service providersarticle · 4 shared references 2013Customer Churn Prediction in Telecommunication A Decade Review and Classificationreview · 4 shared references 2013Forecasting and the Role of Churn in Software-as-a-Service Business Modelsarticle · 4 shared references 2016Intelligent data analysis approaches to churn as a business problem: a surveyarticle · 3 shared references 2021How training on multiple time slices improves performance in churn predictionarticle · 3 shared references 2010Data Mining Applications in Customer Churn Managementother · 3 shared references

Details

Year2021

Typeother

Published2021-07-22

VenueLecture notes on data engineering and communications technologies

ISSN-L2367-4512

Languageen

Citations13

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1007/978-3-030-82014-5_45

openalex_workW3207477515

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