Oracle experts know that data mining is one of the most complex and challenging areas of any data warehouse. In this concise book, Dr. Carolyn Hamm shares the secrets for success in data mining. Using proven techniques and approaches, Dr. Hamm explains how to perform complex predictive analysis without having a PhD in multivariate statistics. This indispensable book show how to glean hidden trends and correlations from terabytes of Oracle data, using proven tools such as SAS and ODM. Targeted at the data warehouse professional, Dr. Hamm explains the complex concepts in plain English and give you a framework to help you get started fast. Your time savings from a single tip is worth the price of this great book. Table of ContentsForeword by Donald K. Burleson Oracle Data Mining and Predictive Analytics Why this book is important Chapter 1: Introduction to Model Building Chapter 2: Adaptive Bayes Network and Decision Trees Chapter 3: Using Support Vector Machines Chapter 4: Creating Clusters and Cohorts Chapter 5: Inside Oracle Data Miner Chapter 6: Predictive Analytics Chapter 7: Personalized Form Letter Generation with Oracle BI Publisher Appendix A: Installing Oracle Data Miner Appendix B: Script to Create ODM User ScriptsAbout the Author Dr. Carolyn Hamm is a recognized expert in Oracle data warehouse technologies, advanced analytics and Oracle data mining. Dr. Hamm specializes in Oracle Discoverer, Oracle OLAP and Oracle Data Warehouse Builder, and is an expert in multivariate statistics using SAS, SPSS and Clementine. Earning her Ph.D. in Experimental Psychology, Dr. Hamm has spent the past 8 years developing web-enabled data systems for population health, accessed by research, clinical and administrative staff.
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Publication Year
2008
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Author
Donald K. Burleson, Dr. Carolyn Hamm
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