Getting Started with Oracle Data Mining

October 20, 2009

This blog posting is my first in the area of Data Mining, in particular performing Data Mining using Oracle.  Over the coming months I will be making regular postings in the areas of data mining and associated activities.  The approach that I take to data mining is slightly different to what would be considered the main stream approach.  Last year I gave a presentation at the UKOUG annual conference in Birmingham titled “You don’t need a PhD to do Data Mining”. What I have discovered over the past 12 years from working in this area is that it is dominated by people with a background in statistics (and many of them have PhDs). But having worked on many data mining projects, most of the work that needs to be done, can be done by and is generally done by Database People.

If you are interested in Data Mining then hopefully my postings over the coming months will help you gain a better understanding of what it is about, what you can do, what kind of outputs you get and how the outputs can be used. 

The following list of books and links will give you a good start in gaining some idea of what it entails

Oracle Data Mining Concepts Book – Parts A & B

Getting Started with Oracle 11g Data Mining

Why & What is Data Mining

As I add each posting I will add some additional links and resources, so over the next few months we will have a comprehensive list of resources for Data Mining in Oracle.  We will put together a separate web page to contain all these resources.  This will complement the list of resources that Uli Bethke is putting together on ODI.

We also offer two training courses on data mining. The first one of these will be aimed at managers and novices in the area. It will give a high level overview on key data mining concepts and issues. The second course will specifically deal with data mining on Oracle using PL/SQL and the Oracle data mining tool. Have a look at our training pages for details.

Let me know if you have any suggestions on topics that you would like me to cover.