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OverviewTargeting the data warehouse professional, this book provides tips on how to glean hidden trends and correlations from terabytes of Oracle data using proven tools such as SAS and ODM. Instructions for performing complex predictive analysis are also included. Full Product DetailsAuthor: Carolyn Hamm , Donald Keith BurlesonPublisher: Rampant TechPress Imprint: Rampant TechPress Dimensions: Width: 15.00cm , Height: 1.40cm , Length: 24.00cm Weight: 0.422kg ISBN: 9780974448633ISBN 10: 097444863 Pages: 253 Publication Date: 01 March 2007 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsChapter 1: Introduction to Oracle Data Mining Chapter 2: Using SAS with Oracle data warehouses Chapter 3: Inside the Oracle Data Mining tool (ODM) Chapter 4: Creating classifications and cohorts Chapter 5: Performing multivariate analysis Chapter 6: Predictive modeling with Oracle data Chapter 7: Using Support Vector Machines (SVM)ReviewsAuthor InformationDr. Carolyn Hamm is an expert in data mining techniques and tools with extensive experience in data analysis. She lives in Silver Spring, Maryland. Tab Content 6Author Website:Countries AvailableAll regions |