Balaji Krishnapuram, director and distinguished engineer at IBM Watson Health, is honored for his contributions to society through the development of machine learning products to improve healthcare. ACM SIGKDD Service Award is the highest service award in the field of knowledge discovery and data mining (KDD). It is conferred on one individual or one group for their outstanding professional services and contributions to the field of knowledge discovery and data mining.
ACM SIGKDD is pleased to announce that Dr. Charu Aggarwal is the winner of its 2019 Innovation Award. He is a distinguished research staff member at IBM T.J. Watson Research Center and is recognized for his research contributions in high-dimensional data, privacy, data streams, uncertain data, graphs, text mining and social networks.
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.
NEW YORK, July 24, 2019 /PRNewswire/ -- KDD 2019, the premier interdisciplinary data science conference, announced KDD Cup 2019, the 23rd annual data mining and knowledge discovery competition organized by the ACM Special Interest Group on Knowledge Discovery and Data Mining. For the first time,
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ACM SIGKDD is pleased to announce that Dr. Bing Liu is the winner of its 2018 Innovation Award. He is a Distinguished Professor of Computer Science at the University of Illinois at Chicago and is honoured this year for his seminal contributions to the foundation of data mining and applications, particularly in opinion mining.
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.
