SIGKDD Awards

2017 SIGKDD Innovation Award: Dr. Jian Pei

2017 SIGKDD Innovation Award Award Winner

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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