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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SIGKDD Welcomes The Newly Elected Executive Committee Chair and Members

SIGKDD Welcomes The Newly Elected Executive Committee Chair and Members

The ACM SIGKDD elections were recently concluded. The new SIGKDD leadership team took office on July 1, 2017. 

The newly elected chair of ACM SIGKDD is Prof. Jian Pei, Canada Research Chair at Simon Fraser University and a Technical VP of Huawei Technologies, Co., Ltd. Prof. Jian Pei is an ACM and IEEE fellow, and his contributions to Data Science are well recognized with over 200 publications and 70K+ citations. Numerous industries have been transformed by these publications and results; and he continues to lead the movement towards creating an innovation driven field that is diverse, inclusive, and transformational. The SIGKDD community is honored to have him serve as chair leading the community on its next chapter.

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Call for 2017 ACM SIGKDD Innovation and Service Awards

Call for 2017 ACM SIGKDD Innovation and Service Awards

Nominations due Friday May 12, 2017

ACM SIGKDD invites your nominations for its 2017 Innovation and Service Awards.

ACM SIGKDD, ACMÕs Special Interest Group on Knowledge Discovery and Data Mining (KDD), is the premier global professional organization for researchers and professionals dedicated to

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CALL FOR NOMINATIONS: 2017 SIGKDD Doctoral Dissertation Award

CALL FOR NOMINATIONS: 2017 SIGKDD Doctoral Dissertation Award

2017 SIGKDD Dissertation Award nominations are open.

ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining.

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2017 SIGKDD Doctoral Dissertation Award

CALL FOR

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Call for Bids to Host KDD-2019

Call for Bids to Host KDD-2019

ACM SIGKDD Executive Committee hereby invites proposals to host the annual KDD Conference in 2019. The conference should take place in August 2019.

KDD is the flagship conference of ACM SIGKDD and the premier research conference on data science and data mining. Proposals for hosting KDD-2019

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