SIGKDD – Special Interest Group on Knowledge Discovery in Data

SIGKDD’s primary mission is to provide the premier forum for advancement, education, and adoption of the “science” of knowledge discovery and data mining from all types of data stored in computers and networks of computers. SIGKDD promotes basic research and development in KDD, adoption of “standards” in the market in terms of terminology, evaluation, methodology and interdisciplinary education among KDD researchers, practitioners, and users.

ACM’s Special Interest Groups (SIGs) represent the major areas of the dynamic computing field.  A primary source of original research and personal perspectives from the world’s leading thinkers in computing and information technology, they foster technical communities within their respective specialties across countries and continents.