Elder Research Inc

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Training Annual 2-Day Course 1-Day Course (DC Oct. 21) 1-Day Course (UK, Nov. 17) Past News Past Talks Previous Training Clients

PERSONNEL Senior Leadership Technical Staff Support Staff Partners

Senior Scientist, Steve Gawtry, will be participating in the Business Analytics Forum @ Information on Demand on October 24-28, 2010 in Las Vegas, NV.

Dr. John Elder will be keynoting at Predictive Analytics World (PAW) on November 15-16, 2010 in London, UK. The talk is titled "The High ROI of Predictive Analytics for Innovative Organizations."

SAS M2010 Data Mining Conference, Dr. John Elder, Keynote Speaker, October 25-26, 2010 in Las Vegas, NV.

In addition, Dr. Elder will be leading a roundtable discussion on "Building an analytics center of excellence within your organization" on Tuesday, October 26, 2010.

2010 Teradata Partners Conference, Dr. John Elder, Session Speaker, October 24-28, 2010 in San Diego, CA.

Capital One Statisticians, Dr. John Elder, Keynote Speaker, November 1, 2010.

Predictive Analytics World (PAW) November 2010, Dr. John Elder, Keynote Speaker and 1-day Course , November 15-17, 2010 in London, UK.

In addition, Dr. John Elder will be a panelist at Predictive Analytics World (PAW) on November 16, 2010 in London, UK. The panel is titled "Expert Panel: Kaboom! Predictive Analytics Hits the Mainstream."

Predictive Analytics World (PAW) October 2010, Dr. John Elder, Plenary Speaker and 1-day Course, October 19-21, 2010 in Washington, DC.

"Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links," Dr. John Elder, Charlottesville, September 13-14, 2010.

Data Mining with Quantitative and Qualitative Data, Dr. John Elder, Webinar, September 1, 2010.

IEEE Symposium on Foundations and Practice of Data Mining in GrC2010, Dr. Giovanni Seni, Keynote Speaker, August 15, 2010 in Silicon Valley, CA.

Elder Research, Inc. (ERI) is a leading consulting company in data mining, predictive analytics, text mining, and optimization. ERI has helped numerous companies solve real-world problems and take advantage of business opportunities. We can empower your organization to make smarter, better decisions by applying our advanced analytic techniques and consulting expertise. Drawing from theory and experience in diverse professional fields, ERI brings cutting-edge research into front-line practice to achieve return on investment for our clients.

Elder Research, Inc., announces key partnership with SAS and Teradata to create a business analytics innovation center. As highlighted in the article, this "think tank" stems from recognizing "the growing need and challenges businesses face driving operational analytics across enterprises." The goal is to have a centralized forum where "customers can discuss analytic practices with domain and subject-matter experts, and quickly test or implement innovative models that uncover unique insights for optimized business operations."

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.

"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."

"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."

The following is a portion of Dr. John Elder's well-known talk on the top ten data mining mistakes. This talk has been presented at many conferences, and continues to be in high demand.

This Case Study details ERI's involvement in the development of Peregrine's DecisionCenter software product.

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