Entries tagged with 2014

2014 SIKDD Test of Time Award Winners

2014 SIKDD Test of Time Award Winners: 2014 KDD Test of Time Award

The 2014 Test of Time award recognizes the following influential contributions to SIGKDD that have withstood the test of time:

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2014 SIGKDD Test of Time Award

2014 SIGKDD Test of Time Award

2014 SIGKDD Test of Time Award:

The SIGKDD Test of Time award recognizes outstanding papers from past KDD Conferences beyond the last decade that have had an important impact on the data mining research community.

The 2014 Test of Time award recognizes the following influential contributions to

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2014 SIGKDD Best Paper Award Winners

2014 SIGKDD Best Paper Award Winners: 2014 SIGKDD Best Research Paper Awards

The award recognizes papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining.

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2014 SIGKDD Dissertation Awards

2014 SIGKDD Dissertation Awards

SIGKDD Dissertation Awards (1 winner, 1 runner-up and 3 honorable mentions)

ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining. 

Selection Procedure: We received 19 nominations this year, a new record

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2014 SIGKDD Dissertation Award Winners

2014 SIGKDD Dissertation Award Winners: 2014 SIGKDD Dissertation Award

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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ACM SIGKDD 2014 Service Award to Ted Senator

ACM SIGKDD 2014 Service Award to Ted Senator

ACM SIGKDD is pleased to announce that Ted Senator is the winner of its 2014 Service Award for his contributions to society and the data mining community.  

Senator has a long history of serving the data mining community. His service has impacted the direction of major conferences that helped

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2014 SIGKDD Innovation Award: Pedro Domingos

2014 SIGKDD Innovation Award: Pedro Domingos: 2014 SIGKDD Innovation Award Winner

Prof. Domingos carried out some of the earliest research on mining data streams. His VFDT algorithm was the first to be capable of learning decision trees from streams while guaranteeing that the result is very close to that of batch learning, and remains the fastest decision tree learner available. He went on to generalize the ideas in VFDT to clustering, the EM algorithm, Bayesian network structure learning, and other problems. The resulting VFML toolkit is one of the best open-source resources for stream mining.

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KDD 2014 Posters Available to Request

KDD 2014 Posters Available to Request

Conference posters are now available for KDD 2014, which will be taking place in New York City on August 24-27 next year. Poster mailing requests can be made through ouronline form.

Please be sure to specify your name, organization, address, e-mail, and the number of posters you'd like to order.

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