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ArticleMaschinelles Lernen

Andreas Welsch2018

Article2018

Maschinelles Lernen

Andreas Welsch · Verena Eitle · Peter Buxmann

23 citations·0/0 files stored·HMD Praxis der Wirtschaftsinformatik

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Customer churn and segmentation Artificial Intelligence Applications Data Mining and Machine Learning Applications

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References

2010Business Model Generation : A Handbook for Visionaries, Game Changers, and Challengers 2007Business model innovation: it's not just about technology anymore 2004The Customer Relationship Management Process: Its Measurement and Impact on Performance 2008Application of data mining techniques in customer relationship management: A literature review and classification 2003The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques 2005Applying data mining to telecom churn management 2015A comparison of machine learning techniques for customer churn prediction

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2020Zukunft der Arbeit – Implikationen und Herausforderungen durch autonome Informationssysteme

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2025A comprehensive survey on customer churn analysis studiesarticle · 8 shared references 2020A Survey on Churn Analysis in Various Business Domainsarticle · 7 shared references 2016Intelligent data analysis approaches to churn as a business problem: a surveyarticle · 7 shared references 2008Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiersarticle · 6 shared references 2017Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behaviorarticle · 6 shared references 2010Modeling customer churn in a non-contractual setting: the case of telecommunications service providersarticle · 6 shared references

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Year2018

Typearticle

Published2018-03-05

VenueHMD Praxis der Wirtschaftsinformatik

ISSN-L1436-3011

Languagede

Citations23

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1365/s40702-018-0404-z

openalex_workW2790076072

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