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Salford Predictive Miner (SPM)  includes CART, MARS, TreeNet, and RandomForests, and powerful new automation and modeling capabilities not found elsewhere.

POWERFUL analytics you can trust

• SPM introduces unique automation techniques.
• SPM allows the modeler to customize the automation throughout the model-building process.
• SPM facilitates the use of data mining and predictive analytics by non-experts and gives unprecedented power for experts.

You are invited to celebrate the launching of SPM, our new integrated suite, at our new offices on June 23rd, 2010, from 6:00 PM-8:00 PM PDT.

• Meet with Senior Staff
• Free Introduction to SPM
• Followed by 2-days of hands-on training.
• Limited space: RSVP to Amy Baldwin, This e-mail address is being protected from spambots. You need JavaScript enabled to view it

About 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.

Salford Systems' tools have accumulated numerous data mining awards since August 2000 and continue to garner new honors and awards each year. We are the only major data mining software provider with this kind of proven performance track record. Not one of our best known competitors has been able to garner a single win when going up against us in open competition.

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 Random Forests. 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 3-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.

The Teradata Center for CRM at Duke University is pleased to announce that Salford Systems is the winner of its 2003 predictive modelling and data mining tournament.

Jerry 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, 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 has 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 are released by the organizing committee.

Dan Steinberg, President of Salford Systems, has won Japan's Nikkei Quality Control (QC) Literature Prize. The award, announced last week, recognizes literature that contributes to the progress and further development of quality control and quality management.

Salford Systems today introduces MARS®, a high-speed flexible regression tool for data mining and predictive modeling. A natural alternative to Neural Networks and more conventional regression models, MARS was designed to solve problems such as how to predict credit card holder balances, insurance claim losses, and cell phone usage with superior forecasting accuracy. MARS builds its models automatically, self-tests to ensure validity, and graphically displays the effect of each important variable on the outcome.

Salford Systems, a new-generation data-mining software developer and consultant, today introduces CART®, user-friendly classification-and-regression-tree software. CART produces the most reliable classification and prediction models for applications such as profiling "best" customers, targeting direct mailings, detecting telecommunications and credit-card fraud, and managing credit risk.