@inproceedings{5ddf1230930946809d2f6cb8e554cfa0,
title = "A Hybrid Two-Level Support Vector Machine-Based Method for Churn Analysis",
keywords = "Churn Analysis, Classification, Customer Retention, Customer Willingness to Pay, Feature Selection, IBM Telecom Data Set, Multi Clustering Feature Selection, Prediction, Support Vector Machine, Support Vector Regression, Unsupervised Feature Selection",
author = "Ferdi Sarac and Huseyin Seker and Marcin Lisowski and Alan Timothy",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 5th International Conference on Cloud and Big Data Computing, ICCBDC 2021 ; Conference date: 13-08-2021 Through 15-08-2021",
year = "2021",
month = aug,
day = "13",
doi = "10.1145/3481646.3481665",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "77--81",
booktitle = "ICCBDC 2021 - 2021 5th International Conference on Cloud and Big Data Computing",
}