ACM SIGKDD 2013 Service Award to Dr. Gabor Melli

 
ACM SIGKDD is pleased to announce that Dr. Gabor Melli is the winner of its 2013 Service Award. Dr. Gabor Melli is recognized for his substantial technical contributions to the practice and application of data mining and for his outstanding service to the global KDD community.
 
ACM SIGKDD Service Award is the highest service award in the field of knowledge discovery and data mining (KDD). It is conferred on one individual or one group for their outstanding professional services and contributions to the field of knowledge discovery and data mining.
 
Dr. Melli has a long history of serving the KDD community, starting in 1997 with his release of the synthetic dataset generator at datasetgenerator.com. Next, in 2005, he co-founded the Data Mining Case Studies workshop series  (dataminingcasestudies.com) and became the SIGKDD Information Director. Since then he has helped to organize many KDD, ICDM and CIKM international conferences in roles such as Publication Chair, Workshops Chair, Sponsorship Chair, Contest Chair, Exhibits Chair, and Demo Chair, while serving as a paper referee for KDD, CIKM, PAKDD, and ACM Computing Surveys. More recently Dr. Melli has initiated a project to semi-automatically create an extensive web knowledge base of KDD concepts (gabormelli.com/RKB/).
 
Dr. Melli received a B.Sc. in Computer Science from the University of British Columbia and an M.Sc. and Ph.D. in Computer Science from Simon Fraser University. He has published over 25 papers in the field (google.com/citations?user=VVmkSAYAAAAJ). Professionally, Dr. Melli is the Chief Scientist at VigLink Inc., a San Francisco-based content monetization platform where he is driving revenue for leading websites through his research into data-driven solutions to semantic information processing. Prior to VigLink, Dr. Melli led projects at large organizations such as Microsoft, AT&T wireless, Verizon, and Wal*Mart. (linkedin.com/in/melli)
 
The previous SIGKDD Service Award winners were Gregory Piatetsky-Shapiro, Ramasamy Uthurusamy, Usama M. Fayyad, Xindong Wu, the Weka team led by Ian Witten and Eibe Frank, Won Kim, Robert Grossman, Sunita Sarawagi, Osmar R. Zaiane, R. Bharat Rao, and Ying Li.
 
The award will be presented at the Opening Plenary Session of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, on August 11, 2013 in Chicago, Illinois.
ACM SIGKDD is pleased to present Dr. Gabor Melli its 2013 Service Award for his outstanding service and contributions to the global KDD community.
 
 
2013 ACM SIGKDD Awards Committee
 

  • Bharat Rao (Deloitte)
  • Christos Faloutsos (Carnegie Mellon University)
  • Osmar Zaiane (University of Alberta)
  • Padhraic Smyth (University of California, Irvine)
  • Ross Quinlan (Rulequest Research)
  • Ramasamy Uthurusamy (General Motors Corporation)
  • Sunita Sarawagi (Indian institute of technology)
  • Usama Fayyad (ChoozOn Corporation)
  • Vipin Kumar (University of Minnesota)
  • Ying Li (Concurix Corporation) – Chair of Awards Committee

 
About ACM SIGKDD Service Award
 
ACM SIGKDD Service Award is the highest service award in the field of knowledge discovery and data mining (KDD). It is conferred on one individual or one group for their outstanding professional services and contributions to the KDD field. Services recognized include significant contributions to the activities of professional KDD societies and conferences, leading organizations or projects that contribute technically to the field as a whole, furthering education of students, researchers and practitioners of KDD, funding R&D activities of the KDD community, professional volunteer services in disseminating technical information to the field, and contributions to society at large through applications of KDD concepts to improve global medical care, education, disaster/crisis management, environment, etc. The award includes a plaque and a check for $2,500 and will be presented at the Opening Plenary Session of the annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 
 
 
About ACM SIGKDD
 
ACM SIGKDD, ACM's Special Interest Group on Knowledge Discovery and Data Mining (KDD), is the premier global professional organization for researchers and professionals dedicated to the advancement of the science and practice of knowledge discovery and data mining. It established the Innovation and Service Awards to recognize outstanding technical and service contributions to the KDD field.
 
 
About ACM
 
The Association for Computing Machinery (ACM) is the world's largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field's challenges. ACM strengthens the computing profession's collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.
 

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