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.