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July 28, 2012 - August 02, 2012San Diego, CA, Booth TBA - KDD
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Announcing the Salford Data Mining Conference Video Portal
Written by SalfordPR Wednesday, November 11 2009About the Conference
Salford Systems' 6th International Applied Data Mining Conference, a user-oriented data mining and predictive analytics conference, was held in San Diego on August 23rd through August 25th, hosting over 100 people and offering 32 presentations across multiple tracks. Topics covered included what went wrong in the financial markets, best practice analytics in banking and insurance underwriting, fraud detection, discovering unexploded ordinance in minefields, various topics in healthcare and bioinformatics, predictive analytics for optimal placement of web advertisements in ad networks, genetics research, and techniques for building better models.
About the Portal
The Salford Conference Video Portal contains video recordings of presentations given at our 2009 Data Mining Conference. Averaging one hour in duration, each presentation has been divided into several 10-minute chapters. In addition to the video, the following will be provided: the presentation abstract, the presentation PowerPoint slides, and the presenter‘s biography.
Three months of unlimited access to all video presentations costs $725.00 USD. Three months of unlimited access to individual video presentations costs $50.00 USD per video.
For more information, please visit the conference video portal.
Salford Systems is pleased to announce our 2009 Data Mining Conference: Focusing on Solving Real-World Challenges. The conference will take place in San Diego, California, August 23-25, with post-conference training August 26-28.
Our conference is aimed at bringing together researchers and practitioners to learn about data mining technology from practical and theoretical experts. Expect to exchange ideas and experiences focused on the practice of both data mining and the real world analysis of complex data.
Our conference is intended to serve several functions:
- A venue to exchange ideas and experiences focused on the practice of data mining and the art and practice of real world analysis of complex data.
- A place to learn about data mining technology and anticipated future developments.
- An opportunity to obtain both basic and advanced training offered by practical and theoretical experts.
Abstracts are currently being accepted. Contributed papers covering any application of CART®, MARS®, TreeNet®, and RandomForests® will be considered, including innovative and unusual applications.
For more information, please visit the Salford conference website.
Blink (2005), a NYT best-selling non-fiction book by Malcolm Gladwell, is a fascinating investigation into a person's ability to make instant judgments and decisions, as well as into the factors that help or hurt the judgment process. In chapter four, Gladwell discusses the problem of diagnosing individuals who arrive at a hospital emergency department with chest pain. Doctors need to quickly determine whether the patient is having a heart attack or is at risk of having a heart attack soon. The author discusses a computer-driven protocol based on research by Lee Goldman that, in a controlled experiment at Cook County Hospital in 2000–2001, was proven to be dramatically more accurate than the judgment of physicians.
Salford Systems is pleased to announce the release of CART® 6.0 ProEX, which comes with a huge list of new features that will help analysts work more rapidly and guide their models to the best-performing trees. This is a dramatic upgrade of our flagship product and is drawing rave reviews from our customers. Please visit the CART 6.0 ProEX webpage for a full list and description of all the new features.
EMB, Europe’s leading non-life actuaries, have teamed up with San Diego-based Salford Systems in a move to help EMB’s insurance clients deploy new, cutting-edge analysis techniques to understand and predict their customers’ behaviour. EMB have become a worldwide distributor of Salford’s data-mining software products, CART, MARS, TreeNet and RandomForests. These powerful tools will be used by EMB and its clients alongside EMB’s own world-leading insurance risk analysis tool EMBLEM.
TreeNet continues to deliver consistent, world-class results, topping the field in yet another international data mining competition. In this case, one of our clients used a free three-day evaluation version of TreeNet to craft the most accurate model (classification accuracy) in the KDD Cup 2004 Physics Task. Their TreeNet submission placed second in the other four categories, resulting in a second-place overall finish.
Jerome Friedman Received ACM SIGKDD's 2002 Innovation Award
Written by SalfordPR Thursday, July 25 2002Jerry Friedman, Professor of Statistics, Stanford University, co-creator of CART, and creator of MARS and TreeNet was awarded the SIGKDD 2002 Innovation award for his far-reaching and profound contributions to data mining technology.
Leo Breiman's Election to the National Academy of Sciences
Written by SalfordPR Monday, April 30 2001Leo Breiman, one of the four creators of CART®, was elected to the National Academy of Sciences on May 1, 2001 for his seminal work in data mining, decision trees, and pattern recognition. Election to the Academy is considered one of the highest honors that can be accorded to a scientist or engineer. Leo joins CART co-author Charles J. Stone, who was elected earlier.
Salford Systems Wins In International Web Mining Competition
Written by SalfordPR Tuesday, August 29 2000Salford Systems won an international web mining competition organized by the ACM (Association for Computing Machinery), the School of Electrical and Computer Engineering, Purdue University, and Blue Martini Software. The announcements and awards ceremony was held in Boston, MA at the 6th Annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, which attracted over 900 data mining experts from North America, Latin America, Europe, and Asia. The competition drew more than 170 participants including major firms in the data mining and business intelligence world. Only the names of winners and honorable mentions were released by the organizing committee.