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.
Among the number of exciting things coming together for KDD 2014, one structural change has been the merger of the Industry Practice Expo (IPE) from previous years with the Industry & Government Track. The primary reason is to ensure that scheduling and content are aligned as closely as possible,
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2014 SIGKDD Doctoral Dissertation Award
CALL FOR NOMINATIONS
Nomination Deadline: April 30, 2014
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This annual award introduced in 2008 recognizes excellent research by This annual award by ACM SIGKDD will |
ACM SIGKDD invites submissions and sponsorships for KDD 2014
August 24-27, 2014, New York City, USA
Welcome to KDD 2014, an interdisciplinary conference that brings together researchers and practitioners from all aspects of data mining, knowledge discovery, and
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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.
Practice Makes Perfect: Featuring Leading Industry Experts and a Provocative Panel Discussion at the KDD Industry Practice Expo
A lot has happened since our last blog post about the Industry Practice Expo (IPE) track at KDD 2013. We have finalized the program and are excited to feature prominent industry speakers, who have contributed to the design and implementation of successful “Big Data” analytics systems in a variety of domains.
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The ACM SIGKDD election results were recently concluded. The new SIGKDD leadership team took office on July 1, 2013. The newly elected chair of SIGKDD is Prof. Bing Liu, professor at University of Illinois at Chicago. Prof. Liu is a well respected data mining and machine learning researcher and
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SIGKDD Welcomes New Chair, Treasurer and Members to Its Executive Committee
The ACM SIGKDD election results were recently concluded. The new SIGKDD leadership team took office on July 1, 2013. The newly elected chair of SIGKDD is Prof. Bing Liu, professor at University of Illinois at Chicago.
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ACM SIGKDD is pleased to announce that Prof. Jon Kleinberg is the winner of the 2013 Innovation Award. He is recognized for his seminal contributions to the analysis of social and information networks, mining the web graph, study of cascading behaviors in networks, and the development of algorithmic models of human behavior.
ACM SIGKDD is pleased to announce that Prof. Jon Kleinberg is the winner of the 2013 Innovation Award. He is recognized for his seminal contributions to the analysis of social and information networks, mining the web graph, study of cascading behaviors in networks, and the development of
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ACM SIGKDD is pleased to announce that Dr. Gabor Melli is the winner of its 2013 Service Award. Dr. Gabor Melli is recognized for his substantial technical contributions to the practice and application of data mining and for his outstanding service to the global KDD community.
ACM SIGKDD Service
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Broadening Participation in Data Mining (BPDM) will be held August 9-10, 2013 in Chicago, IL at the Embassy Suites Chicago Downtown Lakefront
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As data mining research and applications continue to expand into a variety of fields such as medicine, finance, security, marketing, |
Practice Makes Perfect: For a third consecutive year, the KDD Industry Practice Expo (IPE) track brings together the leading data science practitioners
The Industry Practice Expo (IPE) track at KDD 2013 brings together leading industry and government practitioners who |
It is our pleasure to invite you to the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) to be held in New York, USA during August 2014. The theme of KDD-2014 will be around “using big data for the social good” and will be showcased in a special track.
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KDD 2013 will take place August 11-14, 2013 in Chicago, IL, USA
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KDD 2013 will take place August 11-14, 2013 in Chicago, IL, USA It is a pleasure to welcome you to the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) which will be held in |
ACM SIGKDD is pleased to announce that Dr. Ying Li is the winner of its 2012 Service Award. Dr. Ying Li is recognized for her substantial technical contributions to the practice and application of data mining and for her outstanding service to the global KDD community.
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Thursday, June 28, 2012 at 12:00 PM EDT/11:00 AM CDT/9:00 AM PDT/4:00 PM UTC Register Here |
We are weeks away from the 18th International ACM SIGKDD Conference, KDD 2012! As we approach early bird registration for the conference, I wanted to take a minute and share with you the importance of the event and encourage you to take advantage of the upcoming early bird registration.
For the
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