Dr. John Elder

Dr. John Elder heads the leading data mining consulting team in the US, with offices in Charlottesville Virginia, and Washington DC. For 16 years Elder Research, Inc. has focused 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.  Dr. Elder served 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 top Mathematics book in 2009.

Education:

BS and MEE, Rice University

PhD Systems Engineering, University of Virginia, Charlottesville

Areas of Expertise:

Data Mining

Analytics

Text Mining

Publications:

Co-authored, Practical Text Miningand Statistical Analysis for Non-structured Text Data Applications. Academic Press, 2012.

Co-authored, Ensemble Methods in Data Mining: Improving Accuracy through Combining Predictions. Morgan and Claypool Publishers, 2010.

Co-authored, Handbook of Statistical Analysis & Data Mining Applications. Academic Press, 2009.

Awards:

PROSE Award for top Mathematics book, 2009, for Handbook of Statistical Analysis & Data Mining Applications

Websites links:
Dr. John Elder

Courses:
Data Mining Mistakes and How to Avoid Them