Study of Users’ Data Volume as Function of Quality of Experience for Churn Prediction
Customer churn has always been a problem to be addressed by the telecommunication service providers. So far, work done in this regard was based on analyzing historical data of the customers by using different data mining techniques. Investigations based on individual user behavior with a motive of c...
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Format: | Others |
Language: | English |
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Blekinge Tekniska Högskola
2016
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13611 |