Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links,
Charlottesville, VA, September 26 and 27, 2011, presented by Dr. John Elder, of Elder Research, Inc.
This is a practical, experience-based, concepts course, which demystifies data mining with clarity and humor. Learn to isolate the essential aspects of a problem and select and combine the right software tools to find useful patterns in noisy, incomplete data. Practical examples and techniques are drawn from successful consulting engagements in a wide range of fields -- including text mining, investment modeling, fraud detection, biometrics, credit scoring, customer relationship management, drug efficacy estimation, process optimization, and image recognition.
The course contains the popular segment, Top 10 Data Mining Mistakes, and How to Avoid Them, as well as vendor-neutral discussions of the strengths of leading software tools, and clear explanations of the essential technologies of resampling statistics, ensembles of models, and scientific visualization.
Attendees will receive a copy of the award-winning book co-authored by the instructor, Handbook of Statistical Analysis and Data Mining Applications (www.tinyurl.com/bookERI). This 850-page hardback is designed to help practitioners achieve success with data mining and includes valuable fully-working trial versions of powerful data mining software from SAS, Statsoft, and SPSS.
The cost of the course is $1,295. 2nd+ person from same organization: $950.
For more details, including the course outline, intended audience, instructor experience, comments from previous attendees, directions to course location, and a registration form, please go to:
www.datamininglab.com/Training/Annual2DayCourse/tabid/66/Default.aspx or call 434-973-7673.
Charlottesville, Virginia, 110 miles south of Washington DC and 70 miles west of Richmond, is a beautiful place to visit in the Fall! It's the home of Monticello and the University of Virginia. Its Airport code is CHO. See www.visitcharlottesville.org/