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Subscription fraud prevention in telecommunications using fuzzy rules and neural networks · Study

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ArticleSubscription fraud prevention in telecommunications using fuzzy rules and neural networks

P. A. Estévez2005

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Articlegreen2005

Subscription fraud prevention in telecommunications using fuzzy rules and neural networks

P. A. Estévez · Claudio M. Held · Carlos A. Perez

101 citations·0/0 files stored·Expert Systems with Applications

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Customer churn and segmentation Financial Distress and Bankruptcy Prediction Imbalanced Data Classification Techniques

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References

2002Turning telecommunications call details to churn prediction: a data mining approach 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry

Cited by

2010A data mining framework for detecting subscription fraud in telecommunication 2010Combined rough set theory and flow network graph to predict customer churn in credit card accounts 2016A knowledge based scheme for risk assessment in loan processing by banks 2010A Framework for Internal Fraud Risk Reduction at IT Integrating Business Processes, The IFR² Framework 2009A Framework for Internal Fraud Risk Reduction at IT Integrating Business Processes: The IFR² Framework 2012Detecting SIM Box Fraud Using Neural Network 2010User Modeling for Telecommunication Applications: Experiences and Practical Implications 2008Supervised Classification for Decision Support in Customer Relationship Management

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Details

Year2005

Typearticle

Published2005-10-05

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations101

Files0 public / 0

ShelfCustomer churn and segmentation

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doi10.1016/j.eswa.2005.09.028

openalex_workW2150299397

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