ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining.
ANCHORAGE, Alaska, Aug. 14, 2019 -- The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) today announced the location for KDD 2020, the group's flagship conference. The premier interdisciplinary data science conference will take place
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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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Dr. Jie Tang is both one of the leading researchers in the KDD community and also a major contributor to key service roles in the community. His track record of leadership includes conference organization, journal editorship, and participation in the founding of the Chinese KDD chapter. He has also initiated many new activities and has applied his AMiner system to develop resources for the KDD community.
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.
ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining.
The 2018 Test of Time award recognizes the following influential contributions to SIGKDD that have withstood the test of time.
2018 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.
This annual award by ACM SIGKDD will recognize excellent research by doctoral candidates in the
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