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News
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Upcoming Talks
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Text Mining to Fast-Track Deserving Disability Applicants, Dr. John Elder, July 26, 2010 in Arlington, VA.
IEEE Symposium on Foundations and Practice of Data Mining in GrC2010, Dr. Giovanni Seni, Keynote Speaker, August 15, 2010 in Silicon Valley, CA.
"Tools for Discovering Patterns in Data: A Survey of Modern Data Mining Algorithms," Dr. John Elder, Charlottesville, September 13-14, 2010.
Predictive Analytics World (PAW) October 2010, Dr. John Elder, Plenary Speaker and 1-day course, October 19-21, 2010 in Washington, DC.
SAS M2010 Data Mining Conference, Dr. John Elder, Keynote Speaker, October 25-26, 2010 in Las Vegas, NV.
2010 Teradata Partners Conference, Dr. John Elder, Session Speaker, October 24-28, 2010 in San Diego, CA.
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Selected Past Talks
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Business Intelligence: Competing on Analytics, Dr. John Elder, July 9, 2010 in Chantilly, VA.
2010 Netezza User Conference: "Enzee Universe", Dr. John Elder, Panel Participant, June 21-23, 2010 in Boston, MA.
SPSS/IBM Customer Advisory Board, Dr. John Elder, June 8-9, 2010 in Chicago, IL.
6th Annual Text Analytics Summit, "Government Case Study: The "Wild West" of Data Mining and Predictive Analytics," Dr. John Elder, Boston, May 25th - 26th.
Statsoft Webinar- "Unstructured Data Yields Diamonds: A Survey of Text Mining Projects" presented by ERI Research Scientist Dr. Andrew Fast and StatSoft VP Dr. Thomas Hill; March 26th, 2010.
Association of Computing Machinery (ACM) Data Mining Camp, Expert Panel (See Video), Dr. Giovanni Seni, March 20th 2010, San Francisco, CA.
See More Past Talks
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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.
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ERI Announces Key Partnership with SAS and Teradata
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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."
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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."
"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." |
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Top 10 Data Mining Mistakes
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This Case Study details ERI's involvement in the development of Peregrine's DecisionCenter software product.
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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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