From: Ramasamy Uthurusamy   
   Date: 22 July 2007   
   Subject: ACM SIGKDD 2007 Service Award to Robert Grossman   
      
   ACM SIGKDD is pleased to announce that Robert Grossman is the winner   
   of its 2007 Service Award.  Robert Grossman is recognized for his key   
   role in the development of open and scalable architectures and   
   standards for the SIGKDD and Global KDD Communities.   
      
   The ACM SIGKDD Service Award is the highest service award in the field   
   of data mining and knowledge discovery. It is given to one individual   
   or one group who has performed significant service to the data mining   
   and knowledge discovery field, including professional volunteer   
   services disseminating technical information to the field, leading   
   organizations or projects that contribute technically to the field as   
   a whole, furthering KDD education, or increasing funding to the KDD   
   community.   
      
   The previous SIGKDD Service Award winners were Gregory   
   Piatetsky-Shapiro, Ramasamy Uthurusamy, Usama M. Fayyad, Xindong Wu,   
   the Weka team lead by Ian Witten and Eibe Frank, and Won Kim.   
      
   The award includes a plaque and a check for $2,500, to be presented at   
   KDD-2007 (The 13th ACM SIGKDD International Conference on Knowledge   
   Discovery and Data Mining) Opening Plenary Session on August 12, 2007   
   in San Jose, CA.   
      
   Grossman was one of the Founders of the Data Mining Group in 1998,   
   which develops the Predictive Model Markup Language (PMML).  He has   
   been its Chair since it was started; and, during this time, it has   
   released nine versions of PMML.  PMML has seen wide spread adoption by   
   the KDD community, in part, because:   
      
   * PMML supports the sharing of statistical and data mining models in a   
     platform and application independent fashion.   
      
   * PMML supports architectures in which one application produces PMML   
     models (called the PMML Producer) and another application, which   
     may not even be a data mining application, consumes PMML models   
     (called the PMML Consumer or scoring engine).   
      
   * PMML supports KDD service oriented architectures.   
      
   * PMML facilitates the storing of models in model repositories.   
      
   * PMML supports applications in which models must be audited for   
     compliance and other regulatory requirements.   
      
   For the past 10 years, Grossman has led two international testbeds for   
   high performance and distributed data mining, which have been used by   
   over fifty different organizations and groups to test, benchmark, and   
   develop innovative technology for high performance and distributed   
   data mining and knowledge discovery.  The testbeds have also been used   
   to develop and benchmark grid and service oriented technologies for   
   mining large remote and distributed data sets.  The first testbed was   
   called the Terabyte Challenge and operated from 1995 to 1999, when   
   working with a terabyte of data was still relatively rare.  The second   
   tested called the Teraflow Testbed was started in 2004 and will   
   operate   
   until at least 2008.  Today when most distributed data mining takes   
   place at 1-100 Mbps, the Teraflow Testbed can be used to mine data at   
   1-10 Gbps over wide area high performance networks.   
      
   Grossman has a long history of serving the KDD community.  He was the   
   Industrial Track Co-Chair for KDD 2006, the General Chair of KDD 2005,   
   the Sponsorship Chair for KDD 2000 and 2001, and the co-chair of the   
   First and Second SIAM International Conferences on Data Mining (SDM-01   
   and SDM-02).   
      
   Grossman has published over 140 research and technical papers in   
   international conferences and journals.  In 2005, he led the team that   
   won the first annual High Performance Analytics Challenge at the   
   ACM/IEEE International Conference for High Performance Computing and   
   Communications (SC 2005).  He also led teams that won prizes involving   
   high performance data mining and related areas at SC 2006, SC 1999,   
   and SC 1998, SC 1996 and SC 1995.   
      
   Grossman is the Director of the National Center for Data Mining at the   
   University of Illinois at Chicago and the Managing Partner of Open   
   Data Group.   
      
   ACM SIGKDD is pleased to present Grossman its 2007 Service Award for   
   his   
   significant service and contributions to the global KDD community.   
      
   2007 ACM SIGKDD Awards Committee   
      
   Ramasamy Uthurusamy (General Motors, USA), Chair   
   Jerome Friedman (Stanford University, USA)   
   Jiawei Han (University of Illinois Urbana-Champaign, USA)   
   Vipin Kumar (University of Minnesota, USA)   
   Heikki Mannila (University of Helsinki, Finland)   
   Rajeev Motwani (Stanford University, USA)   
   Ramakrishnan Srikant (Google, USA)   
   Ian H. Witten and Eibe Frank (University of Waikato, New Zealand)   
   Xindong Wu (University of Vermont, USA)   
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