John Elder
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Dr. John Elder heads a data mining consulting team with offices in Charlottesville Virginia, Washington DC, Mountain View California, and Manhasset New York ( Founded in 1995, Elder Research, Inc. focuses on investment, commercial and security applications of advanced analytics, including text mining, stock selection, image recognition, process optimization, cross-selling, biometrics, drug efficacy, credit scoring, market timing, and fraud detection.

John obtained a BS and MEE in Electrical Engineering from Rice University, and a PhD in Systems Engineering from the University of Virginia, where he’s an adjunct professor teaching Optimization or Data Mining. Prior to 15 years at ERI, he spent 5 years in aerospace defense consulting, 4 heading research at an investment management firm, and 2 in Rice University's Computational & Applied Mathematics department.

Dr. Elder has authored innovative data mining tools, is a frequent keynote speaker, and was co-chair of the 2009 Knowledge Discovery and Data Mining conference, in Paris. John’s courses on analysis techniques -- taught at dozens of universities, companies, and government labs -- are noted for their clarity and effectiveness. Dr. Elder was honored to serve for 5 years on a panel appointed by the President to guide technology for National Security. His book with Bob Nisbet and Gary Miner, Handbook of Statistical Analysis & Data Mining Applications, won the PROSE award for Mathematics in 2009. His book with Giovanni Seni, Ensemble Methods in Data Mining: Improving Accuracy through Combining Predictions, was published in February 2010.


flag Text Mining to Fast-Track Deserving Disability Applicants
as author at  Data Mining Case Studies Sessions,
flag Successes, Failures and Learning From Them
as author at  13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Jose 2007,
flag ACM SIGKDD Data Mining Practice Prize Winners
as author at  ACM SIGKDD Award Presentations,
flag From Trees to Forests and Rule Sets - A Unified Overview of Ensemble Methods
as author at  Tutorials,
together with: Giovanni Seni,