Build Next‎-Generation In‎-Database Predictive Analytics Applications with Oracle Data Miner‎.‎ "If you have an Oracle Database and want to leverage that data to discover new insights‎,‎ make predictions‎,‎ and generate actionable insights‎,‎ this book is a must read for you‎!‎ In Predictive Analytics Using Oracle Data Miner‎:‎ Develop & Use Oracle Data Mining Models in Oracle Data Miner‎,‎ SQL & PL/SQL‎,‎ Brendan Tierney‎,‎ Oracle ACE Director and data mining expert‎,‎ guides you through the basic concepts of data mining and offers step‎-by‎-step instructions for solving data‎-driven problems using SQL Developer‎'‎s Oracle Data Mining extension‎.‎ Brendan takes it full circle by showing you how to deploy advanced analytical methodologies and predictive models immediately into enterprise‎-wide production environments using the in‎-database SQL and PL/SQL functionality‎.‎ Definitely a must read for any Oracle data professional‎!‎"‎.‎ ‎(‎Charlie Berger‎,‎ Senior Director Product Management‎,‎ Oracle Data Mining and Advanced Analytics‎)‎‎.‎ You can perform in‎-database data mining to unlock hidden insights in data‎.‎ Written by an Oracle ACE Director‎,‎ Predictive Analytics Using Oracle Data Miner shows you how to use this powerful tool to create and deploy advanced data mining models‎.‎ Covering topics for the data scientist‎,‎ Oracle developer‎,‎ and Oracle database administrator‎,‎ this Oracle Press guide shows you how to get started with Oracle Data Miner and build Oracle Data Miner models using SQL and PL/SQL packages‎.‎ You‎'‎ll get best practices for integrating your Oracle Data Miner models into applications to automate the discovery and distribution of business intelligence predictions throughout the enterprise‎.‎ You can install and configure Oracle Data Miner for Oracle Database 11g Release 11.2 and Oracle Database 12c‎.‎ You can create Oracle Data Miner projects and workflows‎.‎ You can‎:‎ prepare data for data mining‎,‎ develop data mining models using association rule analysis‎,‎ classification‎,‎ clustering‎,‎ regression‎,‎ and anomaly detection‎,‎ use data dictionary views and prepare your data using in‎-database transformations‎,‎ build and use data mining models using SQL and PL/SQL packages‎,‎ migrate your Oracle Data Miner models‎,‎ integrate them into dashboards and applications‎,‎ and run them in parallel‎,‎ and‎,‎ build transient data mining models with the Predictive Queries feature in Oracle Database 12c‎.‎