Dr. John ElderDr. John Elder is founder of Elder Research, a recognized industry leader in the science, practice, and technology of advanced analytics with offices in Charlottesville Virginia, Washington DC and Baltimore Maryland. Since 1995 Elder Research has helped commercial clients and government agencies by extracting actionable knowledge from all types of data in diverse industry segments such as financial services, retail and consumer priced goods, healthcare, insurance, government oversight and supply chain. Elder Research’s areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Dr. Elder served for 5 years on a panel appointed by the President to guide technology for National Security and is an Adjunct Professor at the University of Virginia. 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. Dr. Elder also co-authored the book, Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications, which won the PROSE Award in 2012 for Computing & Information Sciences.
BS and MEE, Rice University
PhD Systems Engineering, University of Virginia, Charlottesville
Areas of Expertise:
Co-authored, Practical Text Mining and 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.
PROSE Award for top Computing & Information Sciences book, 2012, for Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications
PROSE Award for top Mathematics book, 2009, for Handbook of Statistical Analysis & Data Mining Applications
Instructor at Statistics.com since September 2010
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