Please forward to anyone who might be interested:
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.).
Even if you can't make it to the live webinar, all registrants will receive a recording about a day later at no cost.
Get more information and register at: http://www.theanalysisfactor.com/data-mining-peter-bruce/
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