description: 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.
language: English
title: Survival Data Mining: Modeling Customer Event Histories
titlecomplete: Survival Data Mining: Modeling Customer Event Histories
publisher: WA (Wiley-SAS)