SAN DIEGO, Sept. 29, 2020 /PRNewswire/ — KDD 2020, the arch interdisciplinary appointment in abstracts science, accustomed over sixty acceptable teams in this year’s KDD Cup competition, which took abode about Aug. 23-27, 2020. As one of the aboriginal competitions of its kind, the KDD Cup is accepted for analytic industry challenges by crowdsourcing participation, while additionally accouterment a belvedere for ambitious and accomplished abstracts scientists akin to body their able profiles and arrangement with arch professionals in the field.
“In 2020, KDD Cup accommodating an aberrant four alongside antagonism advance to action abstracts scientists the befalling to accouterment arising disciplines like adversarial acquirements and abysmal learning,” said Iryna Skrypnyk, co-chair of KDD Cup 2020 and administrator of AI and apparatus acquirements at EVERSANA. “Given the cardinal of accommodating teams from about the globe, winners in this year’s antagonism were afar by the slimmest of margins. The 2020 KDD Cup ultimately awarded over sixty teams as anniversary solutions brought absorbing allegation in methodologies and architectures.”
This year’s antagonism was accurate by contributions of abstracts sets and clue challenges from Alibaba, BienData, DiDi Chuxing, and 4Paradigm with advocacy from ChaLearn, Duke University, Google, Stanford University, Tsinghua University, and the University of Illinois at Urbana-Champaign. Over 4,500 teams registered for the KDD Cup and antagonism winners were called by an absolutely automatic process. KDD Cup 2020 winners include:
In accession to Skrypnyk, KDD Cup 2020 was co-chaired by Jie Tang, assistant of Computer Science at Tsinghua University, and Jieping Ye, carnality admiral of analysis at Didi Chuxing and accessory assistant of Computer Science at the University of Michigan. Claudia Perlich, chief abstracts scientist at Two Sigma, served as an adviser to the committee.
The 25th Anniversary KDD Cup will booty abode in affiliation with KDD 2021 on Aug. 14-18, 2021 in Singapore. Companies absorbed in allotment a antagonism clue are encouraged to abide proposals that accommodated the afterward requirements: a atypical and motivated goal, an absorbing claiming and a ample beat for the abstracts science community, a adamant and fair setup, a arduous yet acquiescent task, and area accessibility to the accepted public. Submissions that abode a ample civic or business appulse are preferred. For added advice on this year’s cup and winners, ability out to [email protected]. For advice on the 2021 KDD Cup’s alarm for proposals, amuse contact: [email protected].
About ACM SIGKDD: ACM is the arch all-around able alignment for advisers and professionals committed to the advance of the science and convenance of ability analysis and abstracts mining. SIGKDD is ACM’s Special Interest Group on Ability Analysis and Abstracts Mining. The anniversary KDD International Appointment on Ability Analysis and Abstracts Mining is the premier interdisciplinary appointment for abstracts mining, abstracts science and analytics.
For added advice on KDD, amuse visit: https://www.kdd.org/.
Follow KDD on:Facebook—https://www.facebook.com/SIGKDDTwitter—https://twitter.com/kdd_news LinkedIn—https://www.linkedin.com/groups/160888/
SOURCE ACM SIGKDD
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