Data Science Using Oracle Data Miner and Oracle R Enterprise : Transform Your Business Systems into an Analytical Powerhouse Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in database predictive analytics. Youll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing model creation and storing final model output to tables. Youll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL PLSQL ORE ODM and native R packages. Youll get to know various options available in the ODM workflow for driving automation. Also youll get an understanding of various ways to integrate ODM packages ORE and native R packages using PLSQL for automating the processes. Introduction Chapter 1 : Getting Started with Oracle Advanced Analytics Chapter 2 : Installation and Hello World Chapter 3: Clustering Methods Chapter 4: Association Rules Chapter 5: Regression Analysis Chapter 6: Classification Techniques Chapter 7: Advanced Topics Chapter 8: Solution Deployment.