SIGKDD is the Association for Computing Machinery

Association for Computing Machinery

The Association for Computing Machinery is a learned society for computing. It was founded in 1947 as the world's first scientific and educational computing society. Its membership is more than 92,000 as of 2009...

's Special Interest Group on Knowledge Discovery and Data Mining

Data mining

Data mining , a relatively young and interdisciplinary field of computer science is the process of discovering new patterns from large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems...

. It became an official ACM SIG in 1998.

Conferences

SIGKDD has hosted an annual conference - ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) - since 1995. Conference papers of each Proceedings of the SIGKDD International Conference on Knowledge Discovery and Data Mining are published through ACM

Association for Computing Machinery

The Association for Computing Machinery is a learned society for computing. It was founded in 1947 as the world's first scientific and educational computing society. Its membership is more than 92,000 as of 2009...

In 2012, KDD will take place in Beijing, China.

KDD-Cup

SIGKDD sponsors the KDD Cup competition every year in conjunction with the annual conference. It is aimed at members of the industry and academia

Academia

Academia is the community of students and scholars engaged in higher education and research.-Etymology:The word comes from the akademeia in ancient Greece. Outside the city walls of Athens, the gymnasium was made famous by Plato as a center of learning...

, particularly students, interested in KDD.

Awards

The group also annually recognizes members of the KDD community with its Innovation Award and Service Award.

SIGKDD Explorations

SIGKDD has also published a biannual academic journal

Academic journal

An academic journal is a peer-reviewed periodical in which scholarship relating to a particular academic discipline is published. Academic journals serve as forums for the introduction and presentation for scrutiny of new research, and the critique of existing research...

 titled SIGKDD Explorations since June, 1999.
Editors in Chief

• Bart Goethals (since 2010)
• Osmar R. Zaiane
  Osmar R. Zaiane
  Osmar R. Zaiane is a renowned researcher, computer scientist, Professor at the University of Alberta specializing in Data Mining and Machine Learning...
  
   (2008-2010)
• Ramakrishnan Srikant (2006-2007)
• Sunita Sarawagi (2003-2006)
• Usama Fayyad (1999-2002)

Current Executive Committee

Chair

• Usama Fayyad (2009-)

Treasurer

• Osmar R. Zaiane
  Osmar R. Zaiane
  Osmar R. Zaiane is a renowned researcher, computer scientist, Professor at the University of Alberta specializing in Data Mining and Machine Learning...
  
   (2009-)

Directors

• Johannes Gehrke
  Johannes Gehrke
  Johannes Gehrke is a professor of computer science at Cornell University who works in the areas of database systems and data mining. He received his PhD from the University of Wisconsin, Madison in 1999 for a thesis in data mining. Since its second edition, he has been a co-author of the standard...
  
  
• Robert Grossman
  Robert Grossman
  Robert Grossman is an American painter, sculptor, filmmaker, and author.In a career spanning nearly fifty years, Grossman's illustrations have appeared over 500 times on the covers of various national publications...
  
  
• David D. Jensen
• Raghu Ramakrishnan
  Raghu Ramakrishnan
  Raghu 'The Ramrod' Ramakrishnan is a renowned researcher in the areas of database and information management. He is currently a Vice President and Research Fellow for Yahoo! Inc. Previously, he was a Professor of at the University of Wisconsin–Madison....
  
  
• Sunita Sarawagi
• Ramakrishnan Srikant

Former Chairpersons

• Gregory Piatetsky-Shapiro (2005-2008)
• Won Kim (1998-2004)

Information Directors

• Ankur Teredesai (2011-)
• Gabor Melli (2004-2011)
• Ramakrishnan Srikant (1998-2003)

External links

• ACM SIGKDD Homepage
• ACM SIGKDD Explorations Homepage