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News
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Upcoming Talks
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1-Day Course John Elder, Toronto, Canada; April 24, 2012.
Jeff Deal will give a talk "Top Ten Data Mining Business Mistakes" at PAW-Toronto April 25, 2012.
John Elder will give a plenary talk "The High ROI of Data Mining for Innovative Organizations" at PAW-Toronto April 25, 2012.
Stein Kretsinger will speak at Edmonton's 4th Annual International Conference on URBAN Traffic Safety: Building Safer Communities "Improving Accuracy through Combining Predictions" April 25, 2012 in Edmonton, Alberta, Canada.
Antonia de Medinaceli will give a talk Fraud Detection: Fraught with Frightful Modeling Hurdles" at PAW Chicago June 25, 2012.
John Elder will give a plenary talk "Becoming an Ace with a Robot as your Wingman" at PAW-Chicago June 25, 2012.
1-Day Course John Elder, Chicago, Illinois; June 27, 2012
2-Day Course "Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links", John Elder, Charlottesville, VA; September 10-11, 2012.
Isaiah Goodall will be the Program Chair for the PAW-Gov conference in Washington, DC; September 17-18, 2012.
1-Day Course John Elder, Dusseldorf, Germany; November 8, 2012 and a keynote November 6, 2012.
Dr. Elder will give a keynote at PAW-London November 27, 2012 and a workshop November 29, 2012.
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Recent Talks
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John Elder, Gerhard Pilcher, and Michael Thurber taught multi-day data mining courses using SAS Enterprise Miner in New York, NY (March 21-23) and Chicago, IL (April 2-4).
John Elder gave a SAS course in New York City, New York; March 21-23, 2012.
John Elder gave a plenary talk "Becoming an Ace with a Robot as your Wingman" at PAW San Francisco March 5, 2012.
John Elder was on a keynote panel "Making a Career of Big Data" at the eMetrics Marketing Optimization Summit in San Francisco March 5, 2012.
Antonia de Medinaceli gave a talk "Fraud Detection: Fraught with Frightful Modeling Hurdles" at PAW San Francisco March 6, 2012.
Jeff Deal gave a talk "Case Study: Top Ten Data Mining Business Mistakes at PAW-SF March 6, 2012.
Andrew Fast was the Master of Ceremonies of Text Analytics World in March 7, 2012. He will also be presenting "The Seven Different types of Text Mining and the Five Questions that Reveal the Right Approach", a guide to finding the right text mining solution.
Workshop by John Elder "The Best and Worst of Predictive Analytics: Predicting Modeling Methods and Common Data Mining Mistakes" Predictive Analytics World; San Francisco, California; March 7, 2012.
John Elder gave a keynote "Text Mining: Lessons Learned" at Text Analytics World in San Francisco March 7, 2012.
Antonia de Medinaceli and Bryan Jones (Director of CAPE at the USPS OIG) was the speaker for an AGA audio conference "Data Mining to Prioritize Investigations of Contract Fraud" March 7, 2012.
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Elder Research Inc. (ERI) is the US’s leading consulting company in data mining, predictive analytics, and text mining. Founded in 1995, ERI has helped government agencies and Fortune Global 500® companies solve real-world problems by amplifying the productivity of their analysts. Drawing from experience in multiple industries, ERI brings cutting-edge technology into front-line practice to achieve high return on investment. Headquartered in Charlottesville, Virginia, ERI also has a growing office in Washington, DC.
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NEW! Practical Text Mining Book Published January 2012
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Co-Authored by Andrew Fast and John Elder
Along with Drs. Gary Miner, Dursun Delen, Thomas Hill, and Robert Nisbet
Published January 9, 2012, by Academic Press
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
  Front Back 
Click here for a two-page brochure about the book.
Only recently has it become practical to begin to tap vast stores of text data for their valuable information. This comprehensive professional reference brings together all the techniques, tools, and methods a professional will need to efficiently use text mining applications. Extensive case studies and tutorials show how to use leading tools to solve real problems in varied fields from corporate finance to business intelligence, and genomics research to counterterrorism.
The 1,000-page Handbook divides the field of text mining into seven Practice Areas, defined by the type of text data you have and your goal, and then shows how to accomplish useful tasks in each. Dozens of tutorials, illustrations, and real-world examples make it a tremendous time saver for practitioners seeking to create text-driven solutions.
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Handbook of Statistical Analysis and Data Mining Applications
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Handbook of Statistical Analysis and Data Mining Applications
Privacy Information
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Handbook of Statistical Analysis and Data Mining Applications
Authors: Robert Nisbet, Ph.D John Elder, IV, Ph.D Gary Miner, Ph.D
Published June 5, 2009, Elsevier Publishing
Recently was awarded the 2009 American Publishers PROSE (Professional and Scholarly Excellence) award for mathematics! The PROSE awards annually recognize the very best in professional and scholarly publishing.
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Reader comments from Amazon.com:
"Rarely do authors succeed in writing THE comprehensive guide to anything, particularly when the subject matter is as complex, multifaceted, and rapidly changing as the field of data mining. The Handbook of Statistical Analysis & Data Mining Applications far exceeds that worthy goal. The text is well-organized, thoughtfully written and intuitive." Colleen McCue, PhD
"The "Handbook of Statistical Analysis and Data Mining Applications" is the finest book I have seen on the subject. It is not only a beautifully crafted book, with numerous color graphs, charts, tables, and screen shots, but the statistical discussion is both clear and comprehensive." Joseph M Hilbe, JD, PhD |
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This Case Study details ERI's involvement in the development of Peregrine's DecisionCenter software product.
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Top 10 Data Mining Mistakes
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Antonia de Medinaceli-Expert Panel at PAW-NYC
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Ensemble Methods in Data Mining
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Ensemble Methods in Data Mining
Privacy Information
Purchase PDF version |
Ensemble Methods in Data Mining by Giovanni Seni, Ph.D and John Elder, IV, Ph.D
Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection to recommendation systems -- where predictive accuracy is more vital than model interpretability.
"The practical implementations of ensemble methods are enormous. Most current implementations of them are quite primitive and this book will definitely raise the state of the art. Giovanni Seni's thorough mastery of the cutting-edge research and John Elder's practical experience have combined to make an extremely readable and useful book." - Jaffray Woodriff, Quantitative Investment Management
Published February 24, 2010, Morgan and Claypool Publishers
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May:
Auburn, Alabama; Toronto, Ontario; Cincinnati, Ohio; Furman, South Carolina
June:
San Francisco, California; Chicago, Illinois
July:
Boston, Massachusetts; Charleston, South Carolina; Cincinnati, Ohio; Concord, New Hampshire; Portland, Maine; San Diego, California; Toronto, Ontario
See Past Cities
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