KDD Cup 2019 Teams Tap Advanced Data Science to Tackle Challenges in Multimodal Transportation, Mala

KDD Cup 2019 Teams Tap Advanced Data Science to Tackle Challenges in Multimodal Transportation, Malaria in Sub-Saharan Africa and Binary Data Classification

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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2018 SIGKDD Innovation Award: Dr. Bing Liu

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.

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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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2018 SIGKDD Test of Time Award Winners

The 2018 Test of Time award recognizes the following influential contributions to SIGKDD that have withstood the test of time.

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CALL FOR NOMINATIONS: 2018 SIGKDD Doctoral Dissertation Award

CALL FOR NOMINATIONS: 2018 SIGKDD Doctoral Dissertation Award

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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