Company
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- JSM
July 28, 2012 - August 02, 2012San Diego, CA, Booth TBA - KDD
August 12, 2012 - August 16, 2012Beijing, China, Booth TBA - Statistical Learning and Data Mining III
October 01, 2012Boston, MA - DMA
October 13, 2012 - October 19, 2012Las Vegas, NV - INFORMS
October 14, 2012 - October 16, 2012Phoenix, AZ
Fraud Detection, Genetic Risk Factors for Schizophrenia, Natural Disaster Detection, Breast Cancer Identification and more at the Salford Analytics and Data Mining Conference
Written by Administrator Tuesday, May 08 2012FOR IMMEDIATE RELEASE
SAN DIEGO – The Salford Analytics and Data Mining Conference will highlight modern data mining applications by Salford Systems’ software users on May 24-25, 2012 at the Courtyard San Diego Old Town hotel.
Conference presenters include theoretical and practical experts from a variety of industries currently using data mining software. Presentation topics include fraud detection, genetics, natural disaster detection, cancer identification methods, telecommunications, energy efficiency in power grids and more.
The three days leading up to the conference — May 21-23 — will entail data mining software training on CART® decision trees, MARS® non-linear regression, TreeNet® gradient boosting and Random Forest® decision tree ensembles.
Package discounts for conference and training registrations are available online at http://www.salforddatamining.com.
RandomForests® Data Mining Software Used in Real-World Case Analyzing How Dietary Patterns Relate to Memory and Aging
Written by Salford PR Friday, April 20 2012SAN DIEGO — RandomForests® Co–Developer Dr. Adele Cutler is presenting a case study of archetypal analysis of dietary patterns related to memory and aging at the Salford Analytics and Data Mining Conference. The conference will take place on May 24–25, 2012 at the Courtyard San Diego Old Town hotel in San Diego, Calif.
Dr. Cutler–s work with the late Dr. Leo Breiman of the University of California, Berkeley on RandomForests has helped enable data mining programs and consulting firms accomplish key project objectives with its ability to work with large datasets and provide extreme predictive accuracy.
“RandomForests and Archetypal Analysis of Dietary Patterns in the Cache County Study on Memory and Aging” is Dr. Cutler’s joint work with Heidi Wengreen, Ron Munger, Chris Corcoran and Anna Quach at the University of Utah. This, and other real–word data mining case studies to be presented at ADMC, are a true testimony to the power that algorithms such as RandomForests have in the modern world when aiming to turn a dataset of information into knowledge.
SAN DIEGO - Just like in February, a special discount for Salford Systems’ Analytics and Data Mining Conference will be awarded for those who “like” or follow @salfordsystems. Salford Systems is awarding a social media discount of 15% off of the early-bird registration for social media savvy data mining enthusiasts.
This one–day special will end on Thursday, March 8, 2012, 11:59 p.m. PST.
So, how does it work? Three ways:
- Facebook “likes” must send an email to This e-mail address is being protected from spambots. You need JavaScript enabled to view it. with the following phrase: “I ‘liked’ Salford Systems on Facebook and would like to request my 15% discount on the Salford Analytics and Data Mining Conference.” A Salford Systems representative will respond with the appropriate invoice.
- Tweeps who follow @salfordsystems must send a @reply “I’m excited for #ADMC2012 and would like to request my 15% discount today!” A Salford Systems representative will acquire appropriate information via a Direct Message, and an invoice will be sent via email.
- Those who follow Salford Systems on LinkedIn and send an email to This e-mail address is being protected from spambots. You need JavaScript enabled to view it. with the following phrase: “I ‘followed’ Salford Systems on LinkedIn and would like to request my 15% discount on the Salford Analytics and Data Mining Conference.”
‘Mobile Analytics’ written by Jesus Mena, Salford Systems client and Data Mining Consultant, a book about the modeling of mobile behaviors in millions of peoples’ pockets or purses – that are incredibly powerful diaries of a person’s life – continuously and intimately broadcasting where, how, when and what products, content, games, news, movies, relationships, TV shows, books, searches, sports, music, services, interests, places, entertainment, etc., consumers want.’
E–book was recently published for Amazon Kindle (February 7, 2012).
(http://www.amazon.com/Mobile-Analytics-ebook/dp/B0076QU1I2/ref=ntt_at_ep_dpt_1)
Social Media Savvy Data Mining Enthusiasts Receive A Special Conference Discount
Written by SalfordPR Wednesday, February 15 2012SAN DIEGO — A 15% discount for Salford Systems’ Analytics and Data Mining Conference will be awarded for those who “like” or follow @salfordsystems. Salford Systems is awarding this social media discount off of the early–bird registration for social media savvy data mining enthusiasts on Thursday, Feb. 16, 2012 only.
So, how does it work? Two ways: Facebook “likes” must send an email to This e-mail address is being protected from spambots. You need JavaScript enabled to view it. with the following phrase: “I ‘liked’ Salford Systems on Facebook and would like to request my 15% discount on the Salford Analytics and Data Mining Conference.” A Salford Systems representative will respond with the appropriate invoice.
Secondly, Tweeps who follow @salfordsystems must send a @reply “I’m excited for #ADMC2012 and would like to request my 15% discount today!” A Salford Systems representative will acquire appropriate information via a Direct Message, and an invoice will be sent via email.
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!
Play This Video
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.