Monday Jul 15, 2013

Oracle Data Miner GUI, part of SQL Developer 4.0 Early Adopter 1 is now available for download on OTN

The NEW Oracle Data Miner GUI, part of SQL Developer 4.0 Early Adopter 1 is now available for download on OTN.  See link to SQL Developer 4.0 EA1.   


The Oracle Data Miner 4.0 New Features are applicable to Oracle Database 11g Release 2 and Oracle Database Release 12c:  See Oracle Data Miner Extension to SQL Developer 4.0 Release Notes for EA1 for additional information  

· Workflow SQL Script Deployment

o Generates SQL scripts to support full deployment of workflow contents

· SQL Query Node

o Integrate SQL queries to transform data or provide a new data source

o Supports the running of R Language Scripts and viewing of R generated data and graphics


· Graph Node

o Generate Line, Scatter, Bar, Histogram and Box Plots



· Model Build Node Improvements

o Node level data usage specification applied to underlying models

o Node level text specifications to govern text transformations

o Displays heuristic rules responsible for excluding predictor columns

o Ability to control the amount of Classification and Regression test results generated

· View Data

o Ability to drill in to view custom objects and nested tables

These new Oracle Data Miner GUI capabilities expose Oracle Database 12c and Oracle Advanced Analytics/Data Mining Release 1 features:

· Predictive Query Nodes

o Predictive results without the need to build models using Analytical Queries

o Refined predictions based on data partitions

· Clustering Node New Algorithm

o Added Expectation Maximization algorithm

· Feature Extraction Node New Algorithms

o Added Singular Value Decomposition and Principal Component Analysis algorithms

· Text Mining Enhancements

o Text transformations integrated as part of Model's Automatic Data Preparation

o Ability to import Build Text node specifications into a Model Build node

· Prediction Result Explanations

o Scoring details that explain predictive result

· Generalized Linear Model New Algorithm Settings

o New algorithm settings provide feature selection and generation

See OAA on OTN pages http://www.oracle.com/technetwork/database/options/advanced-analytics/index.html for more information on Oracle Advanced Analytics.

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Wednesday May 08, 2013

Oracle Advanced Analytics and Data Mining at the Movies on YouTube

Periodically, I've recorded a demonstration and/or presentation on Oracle Advanced Analytics and Data Mining and have posted them on YouTube.  Here are links to some of more recent YouTube postings--sort of an 
Oracle Advanced Analytics and Data Mining at the Movies experience.

So.... grab your popcorn and a comfortable chair.  Hope you enjoy!

Charlie 

Oracle Advanced Analytics at the Movies

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Thursday Mar 21, 2013

Recorded Webcast: Best Practices using Oracle Advanced Analytics with Oracle Exadata

Best Practices using Oracle Advanced Analytics with Oracle Exadata

 On Demand
Launch Presentation


Join us to learn how Oracle Advanced Analytics extends the Oracle database into a comprehensive advanced analytics platform through two major components, Oracle R Enterprise and Oracle Data Mining. Using these tools with Oracle Exadata Database Machine will allow organizations to perform at their peak and find real business value within their data.

You need to visit this Oracle Exadata Webcast Main page first and submit your registration information.  Then you’ll receive an email so you can view the Webcast.  This is external so you can share with anyone can download the presentation as well.  FYI.  Charlie

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Friday Mar 23, 2012

UDDATED for Oracle Database 12c & SQLDEV 4.0: Evaluating Oracle Data Mining Has Never Been Easier - Evaluation "Kit" Available

UPDATED (March 2014) for ORACLE DATABASE 12c & SQL DEVELOPER 4.0 (with ORACLE DATA MINER 4.0)  Extension

The Oracle Advanced Analytics Option turns the database into an enterprise-wide analytical platform that can quickly deliver enterprise-wide predictive analytics and actionable insights. Oracle Advanced Analytics empowers data and business analysts to extract knowledge, discover new insights and make predictions—working directly with large data volumes in the Oracle Database. Oracle Advanced Analytics, an Option of Oracle Database Enterprise Edition, offers a combination of powerful in-database algorithms and integration with open source R algorithms accessible via SQL and R languages and provides a range of GUI (Oracle Data Miner) and IDE (R client, RStudio, etc.) options targeting business users, data analysts, application developers and data scientists.

Now you can quickly and easily get set up to starting using Oracle Data Mining, the SQL API & GUI component of the Oracle Advanced Analytics Database Option for evaluation purposes. Just go to the Oracle Technology Network (OTN) and follow these simple steps.

Oracle Data Mining Evaluation "Kit" Instructions

Step 1: Download and Install the Oracle Database 12c

Step 2: Install SQL Developer 4.0 (the Oracle Data Miner GUI Extension installs automatically but additional post installation Set Up in required.  See Setting Up Oracle Data Miner )

Step 3: Follow the six (6) free step-by-step Oracle-by-Examples Tutorials:

  • Setting Up Oracle Data Miner 4.0   This tutorial covers the process of setting up Oracle Data Miner for use within Oracle SQL Developer 4.0.
  • Using Oracle Data Miner 4.0 This tutorial covers the use of Oracle Data Miner 4.0 to perform data mining against Oracle Database 12c. In this lesson, you examine and solve a data mining business problem by using the Oracle Data Miner graphical user interface (GUI). The Oracle Data Miner GUI is included as an extension of Oracle SQL Developer, version 4.0.
  • Using Feature Selection and Generation with GLM This tutorial covers the use of Oracle Data Miner 4.0 to leverage enhancements to the Oracle implementation of Generalized Liner Models (GLM) for Oracle Database 12c. These enhancements include support for Feature Selection and Generation.
  • Text Mining with an EM Clustering Model This tutorial covers the use of Oracle Data Miner 4.0 to leverage new text mining enhancements while applying a clustering model. In this lesson, you learn how to use the Expectation Maximization (EM) algorithm in a clustering model.
  • Using Predictive Queries With Oracle Data Miner 4.0 This tutorial covers the use of Predictive Queries against mining data by using Oracle Data Miner 4.0.
  • Using the SQL Query Node in a Data Miner Workflow This tutorial covers the use of the new SQL Query Node in an Oracle Data Miner 4.0 workflow.

That’s it!  Easy, fun and the fastest way to get started evaluating Oracle Advanced Analytics/Oracle Data Mining.  Enjoy!  

Charlie

Note: There are also four (4) additional Oracle Data Miner 3.2 Tutorials that are similar that may be helpful to review.

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