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Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models

Koen De Bock UGent and Dirk Van den Poel UGent (2012) EXPERT SYSTEMS WITH APPLICATIONS. 39(8). p.6816-6826
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
SUPPORT VECTOR MACHINES, KNOWLEDGE DISCOVERY, RANDOM FORESTS, CLASSIFICATION, RETENTION, CLASSIFIERS, SATISFACTION, MANAGEMENT, DEFECTION, DIAGNOSIS, Database marketing, Customer churn prediction, Ensemble classification, Generalized additive models (GAMs), GAMens, Model interpretability
journal title
EXPERT SYSTEMS WITH APPLICATIONS
Expert Syst. Appl.
volume
39
issue
8
pages
6816 - 6826
Web of Science type
Article
Web of Science id
000302032600017
JCR category
OPERATIONS RESEARCH & MANAGEMENT SCIENCE
JCR impact factor
1.854 (2012)
JCR rank
12/78 (2012)
JCR quartile
1 (2012)
ISSN
0957-4174
DOI
10.1016/j.eswa.2012.01.014
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2086765
handle
http://hdl.handle.net/1854/LU-2086765
date created
2012-04-13 16:47:15
date last changed
2016-12-19 15:44:44
@article{2086765,
  author       = {De Bock, Koen and Van den Poel, Dirk},
  issn         = {0957-4174},
  journal      = {EXPERT SYSTEMS WITH APPLICATIONS},
  keyword      = {SUPPORT VECTOR MACHINES,KNOWLEDGE DISCOVERY,RANDOM FORESTS,CLASSIFICATION,RETENTION,CLASSIFIERS,SATISFACTION,MANAGEMENT,DEFECTION,DIAGNOSIS,Database marketing,Customer churn prediction,Ensemble classification,Generalized additive models (GAMs),GAMens,Model interpretability},
  language     = {eng},
  number       = {8},
  pages        = {6816--6826},
  title        = {Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models},
  url          = {http://dx.doi.org/10.1016/j.eswa.2012.01.014},
  volume       = {39},
  year         = {2012},
}

Chicago
De Bock, Koen, and Dirk Van den Poel. 2012. “Reconciling Performance and Interpretability in Customer Churn Prediction Using Ensemble Learning Based on Generalized Additive Models.” Expert Systems with Applications 39 (8): 6816–6826.
APA
De Bock, K., & Van den Poel, D. (2012). Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models. EXPERT SYSTEMS WITH APPLICATIONS, 39(8), 6816–6826.
Vancouver
1.
De Bock K, Van den Poel D. Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models. EXPERT SYSTEMS WITH APPLICATIONS. 2012;39(8):6816–26.
MLA
De Bock, Koen, and Dirk Van den Poel. “Reconciling Performance and Interpretability in Customer Churn Prediction Using Ensemble Learning Based on Generalized Additive Models.” EXPERT SYSTEMS WITH APPLICATIONS 39.8 (2012): 6816–6826. Print.