Wednesday Aug 06, 2014

New Book: Predictive Analytics Using Oracle Data Miner


Great New Book Now Available:  Predictive Analytics Using Oracle Data Miner, by Brendan Tierney, Oracle ACE Director

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 the user 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 the reader 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!

See Predictive Analytics Using Oracle Data Miner, by Brendan Tierney on Amazon.com  



Tuesday May 06, 2014

Oracle Data Miner 4.0/SQLDEV 4.0 New Features - Watch Demo!

Oracle Data Miner 4.0 New Features 

Oracle Data Miner/SQLDEV 4.0 (for Oracle Database 11g and 12c)

  • New Graph node (box, scatter, bar, histograms)
  • SQL Query node + integration of R scripts
  • Automatic SQL script generation for deployment

Oracle Advanced Analytics 12c New SQL data mining algorithms/enhancements features exposed in Oracle Data Miner 4.0

  • Expectation Maximization Clustering algorithm
  • PCA & Singular Vector Decomposition algorithms
  • Decision Trees can also now mine unstructured data
  • Improved/automated Text Mining, Prediction Details and other algorithm improvements
  • SQL Predictive Queries—automatic build, apply within simple yet powerful SQL query


Friday Mar 23, 2012

NEW 2-Day Instructor Led Course on Oracle Data Mining Now Available!

A NEW 2-Day Instructor Led Course on Oracle Data Mining has been developed for customers and anyone wanting to learn more about data mining, predictive analytics and knowledge discovery inside the Oracle Database.  To register interest in attending the class, click here and submit your preferred format.

Course Objectives:

  • Explain basic data mining concepts and describe the benefits of predictive analysis
  • Understand primary data mining tasks, and describe the key steps of a data mining process
  • Use the Oracle Data Miner to build,evaluate, and apply multiple data mining models
  • Use Oracle Data Mining's predictions and insights to address many kinds of business problems, including: Predict individual behavior, Predict values, Find co-occurring events
  • Learn how to deploy data mining results for real-time access by end-users

Five reasons why you should attend this 2 day Oracle Data Mining Oracle University course. With Oracle Data Mining, a component of the Oracle Advanced Analytics Option, you will learn to gain insight and foresight to:

  • Go beyond simple BI and dashboards about the past. This course will teach you about "data mining" and "predictive analytics", analytical techniques that can provide huge competitive advantage
  • Take advantage of your data and investment in Oracle technology
  • Leverage all the data in your data warehouse, customer data, service data, sales data, customer comments and other unstructured data, point of sale (POS) data, to build and deploy predictive models throughout the enterprise.
  • Learn how to explore and understand your data and find patterns and relationships that were previously hidden
  • Focus on solving strategic challenges to the business, for example, targeting "best customers" with the right offer, identifying product bundles, detecting anomalies and potential fraud, finding natural customer segments and gaining customer insight.

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