Asia Mahdi Naser alzubaidi
Customer retentionCall graphService providerProjection pursuitSupport vector machineData miningCompetitor analysisRaw dataInterpersonal tiesNon-negative matrix factorizationRandom forestGini coefficientHit rateComputer scienceMatrix decompositionPredictive modellingNode (networking)TelecommunicationsClassifier (UML)Customer relationship management
Publications 2
#2Eman S. Al-Shamery (College of Information Technology)H-Index: 1
Customer churn prediction models aim to indicate the customers with the high tendency to churn, allowing for improved efficiency of customer retention operations and reduced costs associated with the attrite event. This paper proposed a data mining model to predict churn customers using Call Detail Records (CDR) data in the Telcom industry. CDR data are valuable for understanding the social connectivity between customers through call, message or chat graph but do not immediately provide the stre...
A major and demanding issue in the telecommunications industry is the prediction of churn customers. Churn describes the customer who is attrite from one Telecom service provider to competitors searching for better services offers. Companies from the Telco sector frequently have customer relationship management offices it is the main objective in how to win back defecting clients because preserve long-term customers can be much more beneficial to a company than gain newly recruited customers. Re...
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