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News
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Upcoming Talks
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Dr. John Elder will give a plenary talk "Becoming an Ace with a Robot as your Wingman" at PAW San Francisco March 5, 2012.
Dr. Andrew Fast, Director of Research will be 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 Dr. 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.
Dr. John Elder will give a keynote called "Text Mining: Lessons Learned" at Text Analytics World in San Francisco March 7, 2012.
1-Day Course Dr. John Elder, Toronto, Canada; April 24, 2012
1-Day Course Dr. John Elder, Chicago, Illinois; June 27, 2012
1-Day Course Dr. John Elder, Dusseldorf, Germany; November 8, 2012
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Recent Talks
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Stein Kretsinger was an invited speaker for an expert panel designing methods for "Enhancing Federal Cyber Security", on December 5-6, 2011, in San Francisco, CA, facilitated by Monitor360. Stein represented ERI's expertise in "big data", predictive analytics, and X-prize design.
Dr. Andrew Fast, Director of Research was the Master of Ceremonies of Text Analytics World November 20, 2011. He also presented "The Seven Different types of Text Mining and the Five Questions that Reveal the Right Approach".
"The Power (and Potential Peril) of Predictive Analytics" Dr. John Elder, PMSA 2011 Fall Symposium; Morristown, New Jersey; October 27-28, 2011.
"Federal Credit Union Executive Exchange" Stein Kretsinger, Orlando, Florida; October 21, 2011.
Antonia de Medinaceli presented "Case Study: U.S. Postal Service of Inspection General Fighting the Good Fraud Fight" at PAW-NYC October 20, 2011.
Workshop: "The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes" at Predictive Analytics World, Dr. John Elder: Presenter and Workshop, New York, NY; October 17-21, 2011.
Dr. John Elder, Expert Panel: "Text Analytics Hits the Mainstream" Text Analytics World; New York, NY October 20, 2011.
"Case Studies: Anheuser-Busch, the SSA, Netflix- Data Mining Lessons Learned-Technical & Business-from Applied Projects" Predictive Analytics World, Dr. John Elder; New York, NY; October 20, 2011.
2-Day Course "Tools for Discovering Patterns in Data: Extracting Value from Tables, Text, and Links," Dr. John Elder, Charlottesville, VA; September 26-27, 2011.
Isaiah Goodall was the organizer for PAW-Gov in Washington, DC September 12-13, 2011.
Predictive Analytics World-Gov, September 12-13, 2011, Dr. John Elder: Chair, Keynote Speaker, and Workshop Washington, DC, September 14, 2011. Press Release
"Thriving as a Data Miner in the Real World, Dr. John Elder: Featured Presenter, KDD, San Diego, CA; August 21-24, 2011.
RichTech Breakfast, Dr. John Elder: Speaker, Richmond, VA; August 9, 2011.
SAS User's Conference, Antonia de Medinaceli: Featured Presenter and Panel Participant, Cary, NC; June 14-15, 2011.
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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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Handbook of Statistical Analysis and Data Mining Applications
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Handbook of Statistical Analysis and Data Mining Applications
Privacy Information
| 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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Antonia de Medinaceli-Expert Panel at PAW-NYC
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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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NEW! Practical Text Mining Book Coming January 2012
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Co-Authored by ERI's Dr. Andrew Fast and Dr. John Elder
Along with Dr. Gary Miner, Dr. Dursun Delen, Dr. Thomas Hill, and Dr. Robert Nisbet
To be published January 9, 2012, Academic Press
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
  Front Back 
Product description from Amazon.com:
The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on.
Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically.
This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.
The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches.
Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities.
-Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible
-Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com
-Glossary of text mining terms provided in the appendix |
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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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January:
Cary, North Carolina; Pittsburgh, Pennsylvania; Waynesboro, Virginia
February:
Philadelphia, Pennsylvania; Waynesboro, Virginia
March:
San Francisco, California;
See Past Cities
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