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 SIGKDD that have withstood the test of time.
 
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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 in the history of this award. After receiving the nominations, we invited leading experts to serve on the award selection committee from all over the world. Each dissertation was reviewed by atleast 3 experts who helped group the dissertations into two competing groups. During the second phase, all members were invited to rank the top 5 nominations. 
 
Winner:  Reconstruction and Applications of Collective Storylines from Web Photo Collections.  
Gunhee Kim (student) and Eric Xing (advisor)
 
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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.
 
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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 define distinctions between research and applications of KDD and led to recognition of the distinct challenges and accomplishments of those who apply KDD to solve problems with real business, Government, and social value. He served as the General Chair of KDD-2003 and as the Industry Government Track Program co-Chair in 2010, 2011, and 2013. He was the Program co-Chair and Chair of Innovative Applications of Artificial Intelligence (IAAI) in 1996 and 1997 and has been a Program Committee member every year since 1993. He has been the Secretary-Treasurer of AAAI since 2003 and is the Treasurer for KDD-2014.
 
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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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Dear Community Members,   We have an opportunity to redesign and create a new site for SIGKDD this year.   As part of the process SIGKDD EC is inviting proposals from established web design firms to provide a vision of what the...
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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...
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ACM Transactions on the Web Editor in Chief – Call For Nominations   Nominations are sought for the next Editor in Chief of the ACM Transactions on the Web (ACM TWEB). TWEB is a journal publishing refereed articles reporting 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...