Graduate School and Research Center in Digital Sciences

Measuring churner influence on pre-paid subscribers using fuzzy logic

Columelli, Louise ; Nuñez-del-Prado, Miguel ; Zarate-Gamarra, Leoncio

CLEI 2016, XLII Conferencia Latinoamericana de Informatica, October 14-16, 2016, Valparaiso, Chile

In the last decades, mobile phones have become the major medium for communication between humans. The site effect is the loss of subscribers. Consequently, Telecoms operators invest in developing algorithms for quantifying the risk to churn and to influence other subscribers to churn. The objective is to prioritize the retention of subscribers in their network due to the cost of obtaining a new subscriber is four times more expensive than retaining subscribers. Hence, we use Extremely Random Forest to classify churners and non-churners obtaining a Lift value at 10% of 5.5. Then, we rely on graph-based measures such as Degree of Centrality and Page rank to measure emitted and received influence in the social network of the carrier. Our methodology allows summarising churn risk score, relying on a Fuzzy Logic system, combining the churn probability and the risk of the churner to leave the network with other subscribers.

Document Doi Bibtex

Title:Measuring churner influence on pre-paid subscribers using fuzzy logic
Keywords:Churn, Data mining, Classification and Fuzzy logic
Department:Communication systems
Eurecom ref:5125
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Bibtex: @inproceedings{EURECOM+5125, doi = {}, year = {2016}, title = {{M}easuring churner influence on pre-paid subscribers using fuzzy logic}, author = {{C}olumelli, {L}ouise and {N}u{\~n}ez-del-{P}rado, {M}iguel and {Z}arate-{G}amarra, {L}eoncio}, booktitle = {{CLEI} 2016, {XLII} {C}onferencia {L}atinoamericana de {I}nformatica, {O}ctober 14-16, 2016, {V}alparaiso, {C}hile}, address = {{V}alparaiso, {CHILE}}, month = {10}, url = {} }