Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)
Chapter: John Elder Ensembles of Models: Simplicity (of Function) Through Complexity (of Form)
John Elder
Ensembles of Models: Simplicity (of Function) Through Complexity (of Form)
Transcript of Presentation and PDF Slides
BIOSKETCH: John Elder is chief scientist of Elder Research, Inc. (ERI), a consulting firm with offices in Charlottesville, Virginia, and Washington, D.C. (www.datamininglab.com).
Dr. Elder earned electrical engineering degrees from Rice University and a PhD in systems engineering from the University of Virginia, where he is currently an adjunct professor, teaching optimization. He spent 5 years in high-tech defense consulting, 4 years heading research at an investment management firm, 2 years in Rice University’s Computational and Applied Mathematics Department, and has led ERI since 1995.
Since 1995, Dr. Elder has led ERI’s projects in credit scoring, direct marketing, sales forecasting, stock selection, image pattern recognition, drug efficacy estimation, volatility forecasting, fraud detection, biometrics, and market timing. He writes and speaks widely on pattern discovery techniques and is active on statistical and engineering journals and boards.
Dr. Elder is active in statistics and engineering conferences and boards and is a program co-chair of the 2004 Knowledge Discovery and Data Mining Conference. Since the fall of 2001, he has served on a congressionally appointed panel guiding technology at a division of the National Security Agency.
