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.