Join Our Next Webinar

Data Mining methods lie at the center of the constellation of techniques under the umbrella of “business analytics.”  These techniques deal with analysis of large existing datasets (as opposed to controlled experiments, or sample surveys).

This webinar will give an overview of data mining techniques, which include:

• In predictive modeling, we build a model to predict the known value of a variable of interest using “training” data, then apply the model to data where the value is unknown.
• In clustering, we seek to identify groups of similar customers, records, etc. Clustering is the statistical component in customer segmentation.
• A recommender system identifies, statistically, “what goes with what.”  These systems lie behind the notices advising you that “customers who bought X also bought Y.”
• Additional methods include graphical techniques and text analytics (the most rapid growth is in text – Twitter feeds, Facebook contents, emails, etc.).

Date: May 30, 2012

Time: 1pm Eastern Time UTC -4 (12pm Central, 11am Mountain, 10am Pacific)

Where: Anywhere you have a fast internet connection

Length of Program: An Hour

Cost: Always FREE

Space is limited.

How do I sign up? Complete the form below to register. Call details will be sent to you via email. The call will be recorded, so if you miss it, you can still listen in, but you have to register.

About Our Guest

Mr. Peter Bruce is President of The Institute for Statistics Education at Statistics.com. He is the developer of Resampling Stats software (originated by Julian Simon in the 1970′s), and has taught resampling statistics at the University of Maryland and in a variety of short courses. He is the co-author of Data Mining for Business Intelligence (Wiley, 2006, 2nd ed. 2010), as well as a number of journal articles.