SIGKDD, representing the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining, hosts an influential annual conference.
Papers emphasizing theoretical foundations are particularly encouraged, as are novel modeling and algorithmic approaches to specific data mining problems in scientific, business, medical, and engineering applications.
Authors are explicitly discouraged from submitting papers that contain only incremental results or that do not provide significant advances over existing approaches.
Authors compete with established professionals in the field, such as tenured professors, executives, and eminent industry experts from top institutions.
It is common to find press articles and news announcements from the awardees’ institutions and professional media to celebrate this achievement.
The selection committee consists of leading experts who provide insightful and independent analysis on the merits and degree of innovation of the scholarly articles submitted by each author.
First, all papers submitted to the ACM SIGKDD conference are reviewed by research track program committee members.
The final determination of the award is based on the level of advancement made by authors through the paper to the understanding of the field of knowledge discovery and data mining.
Authors of a single paper who are judged to have contributed the highest level of advancement to the field are selected as recipients of this award.
[15] SIGKDD sponsors the KDD Cup[18] data mining competition every year in conjunction with the annual conference.