Company
Products
Upcoming Tradeshows
- ASA Statistical Practice
February 16, 2012 - February 18, 2012Orlando, FL, Booth 12 - Predictive Analytics World
March 05, 2012 - March 09, 2012San Francisco, CA Booth 224 - Statistical Learning and Data Mining III
March 15, 2012 - March 16, 2012Palo Alto, CA, Booth TBA - INFORMS OR
April 15, 2012 - April 17, 2012Huntington Beach, CA Software Workshop April 15, 1-2:45pm Booth 6 - JSM
July 28, 2012 - August 02, 2012San Diego, CA, Booth TBA
Salford Systems Offers Early-Bird Special For Analytics And Data Mining Conference In San Diego
Written by SalfordPR Thursday, January 12 2012SAN DIEGO — Salford Systems looks forward to welcoming attendees to the 2012 Salford Analytics and Data Mining conference in San Diego, May 24–25 to discuss advancements and applications of Salford’s data mining tools. The conference will offer an outstanding range of opportunities for data mining enthusiasts to connect with their colleagues and learn about new data mining techniques and tools.
Early–bird registration may be completed at http://www.salforddatamining.com, and must be completed on or before 11:59 p.m. PST, on Friday March 24, 2012. Registering early ensures the best rates for attendees.
SAN DIEGO—A new, free download method of Salford Systems’ data mining software has been designed and implemented, making it easier than ever for data miners to download Salford’s ultra–fast tools with just a few clicks of the mouse.
The new process works like this:
Step 1: Chose the product(s) you are interested in evaluating.
Step 2: Provide your name and contact information.
Step 3: Download!
It’s as easy as that, and Salford Systems couldn’t be happier to finally launch this new method!
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Recent advances in machine learning technology make it possible to determine definitively whether or not interactions of any degree need to be included in a predictive model.
We can thus establish conclusively, for example, for a given set of predictors, that an additive model (one with no interactions) cannot be improved upon with interactions. Or alternatively, one might prove that a model with interactions will outperform a model without them.
Further, we can now identify precisely which interactions are supported by the data, and also the degree of interaction, even in very high dimensional data. The tools we use to achieve these results are extensions of Stanford University Professor Jerome Friedman's TreeNet, developed by the authors and embedded in the Salford Systems TreeNet 2.0 Pro Ex product.
Data Mining Revolutionaries Will Speak At The Salford Analytics And Data Mining Conference
Written by SalfordPR Thursday, December 15 2011SAN DIEGO — CART® and RandomForests® co–developers include two of the prominent speakers for Salford Systems’ Analytics and Data Mining Conference, which will be held in San Diego, CA May 24–25, 2012.
CART co–developer Dr. Richard Olshen’s interests regarding research are in statistics and mathematics and their applications to medicine and biology. Many efforts have concerned binary tree–structured algorithms for classification, regression, survival analysis, and clustering. Those for classification and survival analysis have been used with success in computer–aided diagnosis and prognosis, especially in cardiology, oncology, and toxicology.
Comparative Performance of Different Statistical Models for Predicting Ground-Level Ozone (O3) and Fine Particulate Matter (PM2.5) Concentrations in Montréal, Canada
Written by SalfordPR Monday, November 21 2011By: Edouard Philippe Martin
Ground–level ozone (O3) and fine particulate matter (PM2.5) are two air pollutants known to reduce visibility, to have damaging effects on building materials and adverse impacts on human health. O3 is the result of a series of complex chemical reactions between nitrogen oxides (NOx) and volatile organic compounds (VOCs) in the presence of solar radiation. PM is a class of airborne contaminants composed of sulphate, nitrate, ammonium, crustal components and trace amounts of microorganisms. PM2.5 is the respirable subgroup of PM having an aerodynamic diameter of less than 2.5 μm. Development of effective forecasting models for ground-level O3 and PM2.5 is important to warn the public about potentially harmful or unhealthy concentration levels.
Free Salford Systems Data Mining Tutorial Offered To INFORMS Attendees
Written by SalfordPR Wednesday, November 09 2011CHARLOTTE, N.C. — Salford Systems returns to the annual Institute for Operations Research and the Management Sciences Conference (INFORMS) where they will present data mining technology to expert and novice users in a user–friendly approach at the conference’s technology workshop. The workshop will be held on Saturday, Nov. 12, 9:00 a.m. – 11:30 a.m. at the Charlotte Convention Center.
Analytics and Data Mining Conference Registration Now Available Online
Written by SalfordPR Tuesday, November 08 2011SAN DIEGO – Registration for the Salford Analytics and Data Mining Conference (ADMC) and pre-conference training can now be accessed electronically at https://www.salforddatamining.com/register/registernow.html. The conference will be held in San Diego, Calif., May 24-25, 2012.
Mars Models and Prediction of Laser Efficiency and Power of a Copper Bromide Vapor Laser
Written by SalfordPR Saturday, November 26 2011A Salford Systems client has recently published a book chapter focused on MARS® in “Statistical Models of Characteristics of Metal Vapor Lasers.”
Intro: In this Chapter, MARS models have been obtained based on all available data for examined CuBr lasers and not only on random samples from the conducted experiments. For this reason, the data are not random, since they have been selected by the researcher. On the other hand, in this way, the fullest possible information about the investigated dependences is utilized. Unlike classic parametric techniques, the models in this chapter are entirely data driven. The data are taken from 274 observations of all 12 variables, described in Table 2.2. Observations where some measurements are missing have not been included. All models are the best MARS models of the respective type. Although the presented models are complex in form, they require few computations when calculating a predicted value. What is more, these are relatively easy to interpret for each specific experiment case.
The full book chapter can be accessed free of charge online at: https://www.novapublishers.com/catalog/product_info.php?products_id=31157
Salford Systems Announces 2012 Analytics and Data Mining Conference
Written by SalfordPR Wednesday, August 10 2011SAN DIEGO – Salford Systems announces its 2012 Analytics and Data Mining Conference with the launch of its new conference website. The conference will be held in San Diego, Calif., May 24-25, 2012.
Data Mining Used For Broad Scale Predictive Modeling And Optimization In Marketing And Retail Sales
Written by SalfordPR Thursday, October 13 2011NEW YORK — Felipe Fernandez, Interefe Founder and Partner, is scheduled to speak at the Predictive Analytics World (PAW), New York, where he will share how he has used Salford Systems’ data mining software to predict the sales correlated with marketing and promotional campaigns. The speaking session will take place on Wednesday, Oct. 19, 2011, at 2 p.m.