KDD Cup 2018 Call for Proposals

KDD Cup 2018 Call for Proposals

This Call for Proposals invites industrial or academic institutions to submit their proposals for organizing the 2018 KDD Cup competition. Since 1997, KDD Cup has been the premier annual Data Mining competition held in conjunction with the ACM SIGKDD conference on Knowledge Discovery and Data

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2017 SIGKDD Test of Time Award Winners

The 2017 Test of Time award recognizes the following influential contributions to SIGKDD that have withstood the test of time.

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2017 SIGKDD Service Award: Dr. Qiang Yang

Dr. Qiang Yang has an outstanding history of serving and promoting the fields of data mining and the artificial intelligence. He has served as the PC Co-chair for ACM KDD 2010, General Chair for ACM KDD 2012 in Beijing and PC Chair for IJCAI 2015.  He was the General Co-Chair for conferences such as ACM IUI 2009, ACM RecSys 2013, and IEEE Big Data 2013. He has chaired many committees in data mining and AI, including the 2017 ACM SIGKDD Test-of-Time Paper Award Committee, 2017 IJCAI Award Committee, and 2017 IEEE AI Ten-to-Watch Committee.  He is the founding editor in chief of ACM Transactions on Intelligent Systems and Technology (ACM TIST), which has become one of the most cited journals under ACM in recent history.  He has also founded the journal IEEE Transactions on Big Data, for which he is the Editor in Chief.  He serves on the AAAI Executive Council and is a member of the Board of Trustees for IJCAI.  

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2017 SIGKDD Innovation Award: Dr. Jian Pei

ACM SIGKDD is pleased to announce that Dr. Jian Pei is the winner of its 2017 Innovation Award.  He is recognized for his seminal contributions to the foundation of data mining and applications, particularly in pattern mining and spatial data mining.  He is a major inventor of several pattern-growth methods, including FP-growth and PrefixSpan, which have been extensively used by industry and adopted by data mining textbooks and open source software toolkits. As one of the most cited authors in data mining, his prolific publications have been cited tens of thousands of times.

The ACM SIGKDD Innovation Award is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD). It is conferred on one individual or one group of collaborators whose outstanding technical innovations in the KDD field have had a lasting impact in advancing the theory and practice of the field. The contributions must have significantly influenced the direction of research and development of the field or transferred to practice in significant and innovative ways and/or enabled the development of commercial systems.

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