SIGKDD Innovation Award

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The SIGKDD Innovation Award is a premier annual honor in the data mining and knowledge discovery community recognizing influential, long-lasting technical contributions to the field.

Aliases (1)

Statements (43)
Predicate Object
instanceOf academic award
computer science award
data mining award
knowledge discovery award
awardFor influential technical contributions in data mining
long-lasting technical contributions in knowledge discovery
outstanding innovations in data mining and knowledge discovery
country United States
discipline computer science
field data mining
knowledge discovery in databases
frequency annual
importance one of the highest honors in data mining
inception 2000
language English
notableRecipient Charu C. Aggarwal
Christos Faloutsos
Gregory Piatetsky-Shapiro
Heikki Mannila
Huan Liu
Hui Xiong
Jiawei Han
Jon Kleinberg
Jure Leskovec
Pedro Domingos
Philip S. Yu
Raghu Ramakrishnan
Rakesh Agrawal
Surajit Chaudhuri
Usama Fayyad
Vipin Kumar
presentedAt ACM SIGKDD Conference on Knowledge Discovery and Data Mining
presentedBy ACM SIGKDD
relatedTo KDD Conference
selectionCriteria long-term influence on the field
originality of contributions
significance to practice and research
technical impact
sponsor ACM Special Interest Group on Knowledge Discovery and Data Mining
status active
subDiscipline data science
machine learning
website https://www.kdd.org/awards/sigkdd-innovation-award

Referenced by (3)
Subject (surface form when different) Predicate
SIGKDD
givesAward
Léon Bottou ("ACM SIGKDD Innovation Award")
hasAward
SIGKDD Service Award
relatedAward

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