New Insights into Churn Prediction in the Telco Sector: a Profit Driven Data Mining Approach

Wouter Verbeke, K Dejaeger, D Martens, J Hur, B Baesens

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	211-229
Journal	European Journal of Operational Research
Volume	218
Issue number	1
DOIs	https://doi.org/10.1016/j.ejor.2011.09.031
Publication status	Published - 2012

Access to Document

@article{b1f8ef58bd4f46718a12b7307b7cccf9,

title = "New Insights into Churn Prediction in the Telco Sector: a Profit Driven Data Mining Approach",

author = "Wouter Verbeke and K Dejaeger and D Martens and J Hur and B Baesens",

year = "2012",

doi = "10.1016/j.ejor.2011.09.031",

language = "English",

volume = "218",

pages = "211--229",

journal = "European Journal of Operational Research",

issn = "0377-2217",

publisher = "Elsevier B.V.",

number = "1",

}

TY - JOUR

T1 - New Insights into Churn Prediction in the Telco Sector

T2 - a Profit Driven Data Mining Approach

AU - Verbeke, Wouter

AU - Dejaeger, K

AU - Martens, D

AU - Hur, J

AU - Baesens, B

PY - 2012

Y1 - 2012

U2 - 10.1016/j.ejor.2011.09.031

DO - 10.1016/j.ejor.2011.09.031

M3 - Article

VL - 218

SP - 211

EP - 229

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 1

ER -