• environmental forcasting a
  • Bioinformatics
  • Business
  • Financial Services
  • Industrial Optimization
  • Retail Analytics
  • Sports Analytics
  • Targeted Marketing
  • Text Mining
  • Music
  • Environmental Forcasting
  • Bioinformatics
  • Business
  • Financial Services
  • Industrial Optimization
  • Retail Analytics
  • Sports Analytics
  • Targeted Marketing
  • Text Mining
  • Music
youtube-channel
download-now
ondemand-vdeo

Products

s-tag The SPM Salford Predictive Modeler® software suite is a highly accurate and ultra-fast platform for developing predictive, descriptive, and analytical models from databases of any size, complexity, or organization. 

 

c-tagCART® is the definitive classification tree generating clear and easy-to-understand flow chart representation of predictive models.

t-tag 

TreeNet® is Salford's most flexible and powerful data mining tool, capable of consistently generating extremely accurate models.

 

m-tagMARS® is ideal for users who prefer results in a form similar to traditional regression while capturing essential nonlinearities and interactions.

r-tag Random Forests® features include prediction clusters and segment discoveries, anomaly tagging detection, and multivariate class discrimination.

 

...and look for our soon-to-be released advanced data mining technologies including TreeNet ICL, PathSeeker, ISLE, PRIM and Rulefit.

Blog

  • How Much Time Needs to be Spent Preparing Data for Analysis?

    When beginning a data analysis project, analysts often discover that the data as presented or made available is not ready for analysis. The reasons for this lack of readiness could be many, including:

    • The coding of the data is inconsistent (e.g. date is sometimes Day-Month-Year, and sometimes Month-Day-Year)
    • Data is made available in separate tables, but merge keys for join are missing
    • Dependent variables for the analysis are largely missing
    • Many fields appear to contain wild (clearly impossible) values
    • Ambiguity regarding whether a value is valid or missing (e.g. age is 99)
    • The unit of observation in the data is not appropriate for analysis (e.g transaction level data but analysis is required at customer level)
  • Unsupervised Learning and Cluster Analysis with CART

    CART in its classification role is an excellent example of "supervised" learning: you cannot start a CART classification analysis without first selecting a target or dependent variable. All partitioning of the data into homogeneous segments is guided by the primary objective of separating the target classes. If the terminal nodes are sufficiently pure in a single target class the analysis will be considered successful even if two or more terminal nodes are very similar on most predictor variables.

  • Regression Model Building via Classification Trees

    Experienced users of decision trees have long appreciated that decision trees in general are often not impressive performers when it comes to regression. This does not in the least suggest that regression trees are not valuable analytical tools. As always, they are fabulous for gaining insight into data, making rapid out of the box progress even when working with highly flawed data, detecting hidden but important flaws in the data, and identifying valuable predictors.

Visit Blogs Section

Press Release

  • Exclusive KDnuggets.com Interview with Dr. Dan Steinberg
    Dr. Dan Steinberg, Salford Systems CEO and Founder, was recently interviewed by KDnuggets' Gregory Piatetsky. The article provides details behind Salford Systems' beginning, development of its core products, stories of working with Dr. Leo Breiman and more.
    Read more...
  • Data Mining Video Contest
    Share Your Data Mining Video! Academics only. Deadline: October 15, 2013. This contest is for students, professors, post-doctoral candidates, and employees of academic institutions. Help us to educate tomorrow's data scientists. Submit a video (10 minutes or less) showing how…
    Read more...
Salford Systems Data Mining and Predictive Analytics Software Solutions
Beacause Accuracy Matters.
 
Introducing SPM: Salford's Integrated Suite of Data Mining Software
The SPM Salford Predictive Modeler® software suite includes CART®, MARS®, TreeNet®, Random Forests®, as well as powerful new automation and modeling capabilities not found elsewhere.
 
  • Contact our team of in-house consulting experts to see how they can help you build practical data mining solutions.
  • Need to determine your ROI on your data mining project quickly and cost-effectively? Consider our Rapid Response Data Mining Center.
  • Salford Systems' tools have accumulated numerous data mining awards since August 2000 and continue to garner new honors and awards each year.