In this tutorial Christian Thurau (a post-doctoral researcher at Fraunhofer IAIS, St. Augustin in Germany) talks about the theory of data mining techniques such as Matrix Factorization, soft and hard Clustering, Principal Component Analysis etc. and explains its application to games. The video covers World of Warcraft as well as some shooter games.
In this video Scott Golightly shows how to use the Microsoft SQL Server data mining wizard. The video is about 20 minutes long and quite good to follow.
In the “How Do I?” library you can find many more video tutorials about different topics e.g.: “How Do I: Optimize SQL Server Integration Services?” or “How Do I: Render reports to a wide-range of formats?”
David Mease, who worked at Google and taught a course at Stanford, Statistical Aspects of Data Mining Stats 202, presents his lectures at Google as Google Tech Talks:
Statistical Aspects of Data Mining Stats 202 Day 1
Those data mining video tutorials apply to Microsoft SQL Server Analysis Services. Here you can finde several videos about using the Data Mining Table Analysis Tool e.g. “Getting Started”, “Forecast” or “Shopping Basket Analysis”. So wether you are a novice or an advanced user you can finde the videos might be right for you.
The knowledge discovery page from Dr. Gregory Piatetsky-Shapiro is probably the best page about Data Mining and much more. You can find anything from courses, news, forums, data sets and more. I think the one-semester introductory course on Data Mining, suitable for advanced undergraduates or first-year graduate students, is great. You will not easily find another free internet course with complete course materials including assignments and data sets. The course is divided into 19 lectures (PowerPoint files) and is based on the textbook Witten and Eibe, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 1999 and 2nd Edition (2005). The software used is Weka which is open source. If you want to have some free video tutorials on Weka click here.
It means Waikato Environment for Knowledge Analysis as it was developed at the University of Waikato (New Zealand), although Weka as well is a bird that is endemic to New Zealand. I like that maybe because I spend some time in New Zealand myself.
However, the Weka software is easy to use due to the graphical user interfaces it contains. It supports several data mining techniques such as preprocessing, classification, clustering, regression and many more. You can download Weka for free on this page.
Sure you will need some tutorials on how to use Weka! Visit this web page for free video tutorials. You will find videos on how to apply different data mining tools like Text Mining, Neural Network, Clustering etc. and you can download the data sets from the tutorials to experiment with them on your own. The quality of the videos is good and the lectures are given in a understandable pace so you should not have problems to follow them. Although the lecturer gets confused sometimes which can be disturbing for the listener. But my favorite tutorials about Weka are from IBM. They show how to use Weka and how to interpret the results as well, which is an advantage if you want to improve your data mining skills. So I recomend to check out the page.
If you are looking for a really good data mining software you should consider RapidMiner. RapidMiner is a leading open-source system for knowledge discovery and data mining with a graphical user interface. It supports a variety of data mining algorithms as decision trees, self-organization maps, clustering, classification to name only a few. Of course it can be downloaded for free on the RapidMiner website where you can also find free video tutorials on how to use the software. As it is a wide-spread software you will be able to find many sources and discussion boards about RapidMiner.
A blog with good content about RapidMiner (and more interesting topics) is Neural Market Trends. Check out the video tutorials here!