The tutorials in this series teach you how to perform data mining with Oracle Database 12c, by using Oracle Data Miner 17.2. Oracle Data Miner 17.2 is included as an extension of Oracle SQL Developer, version 17.2.
This content is intended for the following job role(s): Data Scientist, Data Warehouse Developer, Business Analyst
Release Date: 24-JUL-2017
Created by: Brian Pottle
This tutorial covers the process of setting up Oracle Data Miner for use within Oracle SQL Developer 17.2.
Duration: 15 minutes
This tutorial covers the use of Oracle Data Miner 17.2 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 17.2.
Duration: 45 minutes
In this lesson, you learn how to use the EM algorithm in a clustering model while leveraging text mining enhancements that are included in Oracle Data Miner 17.2.
Duration: 30 minutes
This tutorial covers the use of Oracle Data Miner 17.2 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.
This tutorial covers the use of Predictive Queries against mining data by Oracle Data Miner 17.2.
This tutorial covers the use of the JSON Query Node in an Oracle Data Miner 17.2 workflow in order to mine this Big Data format.
Release Date: 01-MAR-12