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Survival Data Mining: Modeling Customer Event Histories
Survival data mining is the adaptation of survival analysis techniques for mining customer databases. Customer history data can be used for building predictive models of time-dependent outcomes such as churn and product upgrade.
* This book contains business applications, which are not addressed or included in the most popular survival analysis books.
* The latest version of SAS software (v 9.1) is referenced.
* Survival data mining is a hot topic, and this book fills a void in an area that has just started to surface.
* The author is well known in the field and is deemed both talented and exceptional by his peers.
* This is a SAS co-publication. This books highlights an analytical area in which SAS is strong and provides new, important, and timely application areas for survival analysis.
* This book contains business applications, which are not addressed or included in the most popular survival analysis books.
* The latest version of SAS software (v 9.1) is referenced.
* Survival data mining is a hot topic, and this book fills a void in an area that has just started to surface.
* The author is well known in the field and is deemed both talented and exceptional by his peers.
* This is a SAS co-publication. This books highlights an analytical area in which SAS is strong and provides new, important, and timely application areas for survival analysis.
Paperback
First published April 1, 2006
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