Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links

This course describes powerful analytic methods for classification and estimation drawn from Statistics and Data Mining. Dr. Elder will explain leading algorithms, compare their merits, and demonstrate their effectiveness on practical applications.

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Elder Research is presenting a 2-day course,
Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links, on September 10-11 in Charlottesville, Virginia. Drawing on 20 years of experience, Dr. John Elder will explain techniques employed by experts to solve challenging problems.

Attendees will receive the 864-page book, Handbook of Statistical Analysis and Data Mining Applications, by Drs. Nisbet, Elder, and Miner, winner of the 2009 PROSE Award in Mathematics. It includes fully functional (limited time) data mining software from SAS, IBM/SPSS, and StatSoft.

This course describes powerful analytic methods for classification and estimation drawn from Statistics and Data Mining. Dr. Elder will explain leading algorithms, compare their merits, and demonstrate their effectiveness on practical applications. We'll review classical statistical techniques, and outline how they are modified and combined into modern methods. The course emphasizes practical advice and the essential techniques of Resampling, Visualization, and Ensembles. Actual scientific and business examples illustrate techniques employed by expert analysts. Key aspects of mining text and links will also be outlined, and major strengths of leading commercial software tools for Data Mining will be compared.

Space is limited, so reserve your place now! To register, call 434-973-7673, or download a registration form. You can also register online. While attending the course, enjoy your stay in beautiful and historic Charlottesville, Virginia.

Any questions - contact
Debbie Owen
Elder Research, Inc.
debbie@datamininglab.com, (434) 973-7673

John Elder will also be teaching one-day versions of the course in the following locations:

1. Washington, DC (September 19, 2012)
2. Boston, MA (October 3, 2012)
3. Dusseldorf, Germany (November 8, 2012)
4. London, England (November 29, 2012)

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, a new ~1,100-page handbook co-authored by ERI researchers Dr. Andrew Fast and Dr. John Elder (along with Drs. Gary Miner, Dursun Delen, Thomas Hill, and Robert Nisbet) was published in January 2012. Click here for a two-page brochure about the book.