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  • Industrial Optimization
  • Retail Analytics
  • Sports Analytics
  • Targeted Marketing
  • Text Mining
  • Music
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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

  • 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.

  • Random Forests OOB vs. Test Partition Performance

    Random Forests is the unique learning machine that has no need of an explicit test sample because of its use of bootstrap sampling for every tree. This ensures that every tree in the forest is built on about 63% of the available data, leaving the remaining approximately 37% for testing [the OOB (out-of-bag) data].

  • Using LAGS for Time Series-Style Modeling in SPM

    If you wish to run a time series or panel data (time series cross section) style model you will frequently want to use lagged values of variables as predictors.

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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.
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