churn

12 papers and 3 presentations; 15 titles.

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Conference ×	Year ×	Title ×	Authors	Extras	Pages
WUSS	2019	Telecom Industry: Customer Churn Prediction	Aakash Dwivedi	source	7
SGF	2018	Enhancing Subscription-Based Business by Predicting Churn Likelihood	Smitha Etlapur	source	12
SESUG	2017	Churn the Data Around - A Machine Learning Approach to Understanding Why Customers Leave	Sean Ankenbruck	source	9
SGF	2017	Application of Survival Analysis for Predicting Customer Churn with Recency, Frequency, and Monetary	Bo Zhang, Liwei Wang	source	6
SCSUG	2013	Using SAS to Build Customer Level Datasets for Predictive Modeling	Scott M. Shockley	source	14
SGF	2013	Bringing Churn Modeling Straight to the Source: SAS and Teradata In-Database Model Development	Jonathan Wexler, Karl Krycha	source	9
SGF	2012	Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner	Sascha Schubert, Susan Haller, Taiyeong Lee	source	15
SGF	2008	Employing SAS Text Miner Methodology to Become a Customer Genius in Customer Churn Prediction and Complaint E-mail Management	Kristof Coussement	source	12
SGF	2008	Mobile Operator Customer Classification in Churn Analysis	Piotr S. Sulikowski	source	5
SUGI	2005	Predicting Customer Value	Will Potts	source	6
SEUGI	2003	Leveraging Intelligence for Better Results in Telecom [presentation]	Richard O'Brien	source	47
SUGI	2003	Modeling Customer Lifetime Value Using Survival Analysis - An Application in the Telecommunications Industry	Junxiang Lu	source	6
SUGI	2002	Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS	Junxiang Lu	source	6
SEUGI	2001	Data Mining at CDG Bank: an advantage or a requirement? [presentation]	Elisabete Silva, Henrique Nicola	source	25
SEUGI	2000	Insurance Rate Making Using Data Mining [presentation]	Bernd Drewes	source	50

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