I/P Engine, Inc. v. AOL, Inc. et al

Filing 1057

NOTICE by I/P Engine, Inc. re 1044 Order on Motion for Order to Show Cause, in Response to the Court's November 7, 2013 Order (Attachments: # 1 Exhibit A, # 2 Exhibit B)(Sherwood, Jeffrey)

JOHN F. ELDER IV, PH.D.
ELDER RESEARCH, INC., 300 W Main St, Suite 301, Charlottesville, Virginia 22903
[phone]
[e-mail]
www.datamininglab.com
EDUCATION
University of Virginia

Ph.D. in Systems Engineering, May 1993
-- Louis T. Rader Award

Rice University

Masters in Electrical Engineering, 1984 (Digital Signal Processing)
BS in Electrical Engineering, 1983 (Computers)
EXPERIENCE

1995-present Elder Research, Inc. www.datamininglab.com
Chief Scientist
Successful applications include: investment timing, text mining, fraud detection,
credit scoring, customer relationship management, process optimization, direct
marketing, sales forecasting, cross-selling, analytic software design, drug efficacy
analysis, optimal scheduling, biometrics, image recognition, document
classification, and stock selection.
2003-present University of Virginia
Adjunct Professor (part-time)
Department of Systems and Information Engineering
1993-1995

Rice University
Research Scientist, NSF Fellowship
Department of Computational & Applied Mathematics
& Center for Research on Parallel Computation, Houston, Texas

1989-1993

University of Virginia
Research Assistant (half time)
Department of Systems Engineering
& Institute of Parallel Computation, Charlottesville, Virginia

1989-1992

Delta Financial, Inc.
Virginia Beach, Virginia

Director of Research (half time)

1984-1989

Barron Associates, Inc.
Stanardsville, Virginia

Research Scientist

Summers
1978-1983

Texas Instruments (Applications Engineer), Adaptronics, Inc. (Programmer),
National Geologic Survey (Junior Fellow), Smithsonian Institute (Intern)
PROFESSIONAL ACTIVITIES

Technology Panel, National Security Agency (2001-2007). Chair, Predictive Analytics World for
Government (2011-present); General Chair, Knowledge Discovery & Data Mining (KDD)
conference (2009); Co-chair, KDD Industrial & Government Program (2004), Sponsorship
(2003), Program committee (2003). Board, Interface Foundation of North America (19982002). Associate Editor, Statistics and Computing (1998-2000). Best Paper Award committee
(ICDM, 2003; KDD, 1999). Technical Chair, Adaptive and Learning Systems Group, IEEE
Systems, Man, and Cybernetics (SMC) Society (1996-1997). Reviewer for journals on
Knowledge and Data Engineering, Computational and Graphical Statistics, Neural Networks,
and Social Science. Frequent keynoter or organizer for Analytics and Finance conferences.

1 | John F. Elder, IV, Ph.D.
Exhibit B

Page 1 of 3

John F. Elder IV
MAJOR PUBLICATIONS
(many are available on www.datamininglab.com)
(July 2012) “Driving Full Speed, Eyes on the Rear-View Mirror”, Chapter 5 of Journeys to
Data Mining: Experiences from 15 Renowned Researchers, M. Gabor ed., Springer;
hardback; ISBN 978-3642280467
(Jan. 2012, with G. Miner, T. Hill, R. Nisbet, D. Delen, and A. Fast) Practical Text Mining and
Statistical Analysis for Non-structured Text Data Applications, Academic Press (Elsevier);
2-color 1,000-page hardback; ISBN 978-0123869791; www.amzn.to/textmine
(Jan. 2010, with G. Seni) Ensemble Methods in Data Mining: Improving accuracy through
combining predictions, Morgan & Claypool; 200-page greyscale paperback; ISBN 9781608452842; www.tinyurl.com/book2ERI
(May 2009, with R. Nisbet and G. Miner) Handbook of Statistical Analysis & Data Mining
Applications, Academic Press (Elsevier), 860-page 4-color hardback; ISBN 9780123747655; www.tinyurl.com/bookERI
(2007, with G. Seni) “From Trees to Forests and Rule Sets: A unified Overview of Ensemble
Methods”, KDD tutorial; video: http://videolectures.net/kdd07_elder_ftfr/
(Dec. 2003) The Generalization Paradox of Ensembles, Journal of Computational and Graphical
Statistics 12, no. 4: 853-864.
(2000, with D. Brown) Induction and Polynomial Networks, Chapter 6 of Network Models for
Control and Processing, M. Fraser, ed., Intellect, Bristol, UK, August.
(1999) The Interface Conference – A Resource for KDD, SIGKDD Explorations, Vol. 1, Issue 1,
Association for Computing Machinery, June.
(1996) A review of Machine Learning, Neural and Statistical Classification, (eds. Michie,
Spiegelhalter & Taylor; Ellis Horwood, 1994), Journal of the American Statistical
Association 91, no. 433: 436-437, March.
(1996, with D. Pregibon) A Statistical Perspective on Knowledge Discovery in Databases,
Chapter 4 in Advances in Knowledge Discovery and Data Mining, eds. U. M. Fayyad, G.
Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, AAAI/MIT Press.
(1996) Heuristic Search for Model Structure: the Benefits of Restraining Greed, Chapter 13 in
Learning from Data: Artificial Intelligence and Statistics V, Lecture Notes in Statistics,
eds. D. Fisher and H.-J. Lenz, Springer-Verlag: New York.
(1994) Invited Comment on "Prosection Views" by Furnas and Buja, Journal of Computational
and Graphical Statistics 3, no. 4: 355-362.
(1993) Efficient Global Optimization through Response Surface Modeling: A GROPE Algorithm,
Ph.D dissertation, University of Virginia, May.
(1993, with M. S. Fenster and R. Dolan) A New Method for Predicting Shoreline Positions from
Historical Data, Journal of Coastal Research 9, no. 1: 147-171, Winter.
(1991, with M. T. Finn) Creating ‘Optimally Complex’ Models for Forecasting. Financial
Analysts Journal, Jan/Feb: 73-79.
PRESENTATIONS AND PROCEEDINGS
2

2 | John F. Elder, IV, Ph.D.
Exhibit B

Page 2 of 3

John F. Elder IV
~20 technical reports and over 80 conference papers and talks, including many keynote addresses
– several of which are available on www.datamininglab.com.
CLEARANCES
Department of Defense: TS/SCI
Social Security Administration: Background
TUTORIALS & SHORT COURSES on Data Mining tools, techniques, and applications
(ranging from 2 hours to a week in length, from 1988 to the present) to:
Universities: MIT Sloan Business School, Harvard School of Public Medicine, University of
Virginia (McIntire School of Commerce, Darden Business School, Systems and
Information Engineering, Statistics), The College of William & Mary School of Business,
Fairfield University School of Business, Rice University (Computational and Applied
Mathematics, Statistics, Continuing Education), George Mason Applied Engineering &
Statistics, Baylor Medical School Urology, Virginia Polytechnic Institute Aerospace and
Oceans Engineering, U. of Alabama at Huntsville Computer Science.
Corporations: AT&T Bell Labs, Capital One, HSBC, Bell Atlantic, The Nature Conservatory,
AstraZeneca, Pharmacia & Upjohn, Continental Airlines, SunTrust, Pitney Bowes, BectonDickinson, American Management Systems, Citibank (England), Daimler-Benz
(Germany), Uni-Strategic (Malaysia), Insurance Services Office, Lindner Funds,
Northfield, Rio Grande Medical Technologies, Electronic Warfare Associates, Peoples
Bank, World’s Foremost Bank, Federal Data Corporation, Glaxo-Wellcome, Smith-Kline
Beecham, Salford Systems, Martin Marietta.
Government Agencies: National Security Agency, National Science Foundation, IRS, National
Academy of Sciences, Social Security Administration, Defense Finance & Accounting
Agency, U.S. Naval Weapons Center.
Professional Associations: Predictive Analytics World, INFORMS Roundtable, Society for
Industrial and Applied Mathematics, Biopharmaceutical Society, American Statistical
Association, Knowledge Discovery & Data Mining, VA Piedmont Technology Council,
Institute of Electrical and Electronics Engineers (IEEE), Institute for Professional
Education, Interface Foundation of North America, IEEE Systems, Man & Cybernetics
Society; American Marketing Association, Pharmaceutical Management Science
Association, International Communications Forecasting, Richmond Society of Financial
Analysts, Applied Statistics Society, Systems Engineering Society (Chile), Gordian
Institute, Operations Research Society.

3

3 | John F. Elder, IV, Ph.D.
Exhibit B

Page 3 of 3