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Upcoming Tradeshows

  • JSM
    July 28, 2012 - August 02, 2012
    San Diego, CA, Booth TBA
  • KDD
    August 12, 2012 - August 16, 2012
    Beijing, China, Booth TBA
  • Statistical Learning and Data Mining III
    October 01, 2012
    Boston, MA
  • DMA
    October 13, 2012 - October 19, 2012
    Las Vegas, NV
  • INFORMS
    October 14, 2012 - October 16, 2012
    Phoenix, AZ
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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 – Data mining technology allows sports teams to find new indicators to measure player performance while helping them gain insight into athletes’ future success, asserted Mikhail Golovnya, Salford Systems’ senior scientist, during his presentation at the MIT Sloan Sports Analytics Conference in Boston last week.

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SAN DIEGO - Dr. Falk Huettmann, a wildlife ecologist and professor at the University of Alaska-Fairbanks, has written a report entitled Future of Alaska in which he forecasts how climate change, human activities, natural disasters and cataclysmic events might affect Alaska’s ecosystem over the next 100 years.

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SAN DIEGO – Salford Systems CEO Dan Steinberg and Salford product user Felipe Fernandez will share with KDD 2011 attendees how broad scale predictive modeling and marketing optimization can be used to improve retail sales. The presentation will be included in the conference’s inaugural Industrial Practice Expo on Tuesday, Aug. 23.

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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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MIAMI – For the first time since its release, Salford Systems will train analysts on the advanced and novel features of its Predictive Modeling Suite. An Introduction to SPM is one of the featured computer training workshops included at the 2011 Joint Statistical Meetings in Miami Beach, Fla.

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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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