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Tuesday, December 14 2010 12:23

SPM Suite Unveiled at NCDM 2010

MIAMI -- Salford Systems, the authority in data mining and predictive analytics software, unveiled its new Salford Predictive Modeler (SPM)™ software suite at NCDM 2010 here today. SPM provides businesses, institutions and government agencies with a highly accurate, ultra-fast platform for developing predictive, descriptive and analytical models from large and complex databases. SPM technology dramatically accelerates accurate, robust model generation by automatically sifting through such databases to isolate significant patterns and relationships. Yet the program is easy to use for both technical and nontechnical users.

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Try Now! Free 30-Day Trial

Salford Predictive Modeling Suite (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.

This e-mail address is being protected from spambots. You need JavaScript enabled to view it. Find out how you can use SPM technology in ways that are core and critical to your analytics challenges.
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SAN DIEGO – Salford Systems, a pioneer in developing data mining and predictive analytics software, has once again provided the winning technology in a major competitive analytics event, this time at the 2010 Direct Marketing Association (DMA) Analytic Challenge, sponsored by the CAC Group, Inc.

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SAN 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.

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SAN DIEGO – A recent study confirms that a 17-gene genomic biomarker, identified by Salford Systems’ data mining algorithm TreeNet®, enables the Epidermal Genetic Information Retrieval (EGIR) method to detect melanoma accurately.

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