ACM SIGKDD is pleased to announce that Pedro Domingos is the winner of its 2014 Innovation Award. He is recognized for his foundational research in data stream analysis, cost-sensitive classification, adversarial learning, and Markov logic networks, as well as applications in viral marketing and information integration.
 
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.
 
Read More...

 

 
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. 


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 our online form here. Please be sure to specify your name, organization, address, e-mail, and the number of posters you'd like to order.
 
More information on the conference itself is available on the official KDD 2014 website.
 
 

 

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 SIGKDD community is honored to have him serve as chair.
 
“The rise of Big Data is driving a tremendous interest in data mining research as well as real-world applications across industry and government.  SIGKDD community has a unique opportunity to lead the direction by providing a global forum to disseminate cutting edge research results and to demonstrate innovative applications” states Prof. Liu.
 
Read More...

by , 2 weeks 6 days ago
ACM SIGKDD is pleased to announce that Pedro Domingos is the winner of its 2014 Innovation Award. He is recognized for his foundational research in data stream analysis, cost-sensitive classification, adversarial learning, and Markov logic...
by Paul Bradley , 7 weeks 4 days ago
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...
by , 21 weeks 2 days ago
2014 SIGKDD Doctoral Dissertation Award   CALL FOR NOMINATIONS   Nomination Deadline: April 30, 2014   This annual award introduced in 2008 recognizes excellent research by doctoral candidates in the...

KDD In the News

Saturday, September 24, 2011 - 21:00

Traditionally, scientists and researchers develop the latest and greatest techniques in computing, which then trickle down corporate data centers where they’re relevant. But with big data — the process of analyzing voluminous quantities of data in new, unique ways — it’s the industry that’s driving innovation. 

Monday, August 15, 2011 - 21:00

...Twenty years ago, the only people who cared about so-called "big data"—the only ones who had enormous data sets and the motivation to try to process them—were members of the scientific community, says Usama Fayyad, executive chair of ACM's Special Interest Group on Knowledge Discovery and Data Mining and former chief data officer at Yahoo...