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

Wouter Verbeke, K. De Jaeger, D. Martens, J. Hur, B. Baesens

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

Original language	English
Pages (from-to)	211-229
Number of pages	19
Journal	European Journal of Operational Research
Volume	218
Issue number	1
Publication status	Published - 2012

Cite this

@article{b94afd30bb86403ea073522e511409cc,

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

author = "Wouter Verbeke and {De Jaeger}, K. and D. Martens and J. Hur and B. Baesens",

year = "2012",

language = "English",

volume = "218",

pages = "211--229",

journal = "European Journal of Operational Research",

issn = "1872-6860",

publisher = "Elsevier",

number = "1",

}

TY - JOUR

T1 - New Insights into Churn Prediction in the Telco Sector: a Profit Driven Data Mining Approach

AU - Verbeke, Wouter

AU - De Jaeger, K.

AU - Martens, D.

AU - Hur, J.

AU - Baesens, B.

PY - 2012

Y1 - 2012

M3 - Article

SN - 1872-6860

VL - 218

SP - 211

EP - 229

JO - European Journal of Operational Research

JF - European Journal of Operational Research

IS - 1

ER -