SIGKDD

Known as: Conference on Knowledge Discovery and Data Mining, KDD Conference 
SIGKDD is the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining. It became an official… (More)
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Papers overview

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2015
2015
The panel session 'Data Driven Science' discusses application and use of knowledge discovery, machine learning and data analytics… (More)
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Highly Cited
2010
Highly Cited
2010
KDD Cup 2010 is an educational data mining competition. Participants are asked to learn a model from students’ past behavior and… (More)
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Highly Cited
2009
Highly Cited
2009
Many approaches to automatic sentiment analysis begin with a large lexicon of words marked with their prior polarity (also called… (More)
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Highly Cited
2009
Highly Cited
2009
RankSVM (Herbrich et al. in Advances in large margin classifiers. MIT Press, Cambridge, MA, 2000; Joachims in Proceedings of the… (More)
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2008
2008
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick… (More)
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2005
2005
If the training pattern set is large, it takes a large memory and a long time to train support vector machine (SVM). Recently, we… (More)
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Highly Cited
2004
Highly Cited
2004
Packet header traces are widely used in network analysis. Header traces are the aggregate of traffic from many concurrent… (More)
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Review
2004
Review
2004
Following a tradition of several years, KDD conferences host a number of workshops on challenging topics that emerge and demand… (More)
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Highly Cited
2003
Highly Cited
2003
Given a large collection of transactions containing items, a basic common data mining problem is to extract the so-called… (More)
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Highly Cited
1997
Highly Cited
1997
There is a wealth of information to be mined from narrative text on the World Wide Web. Unfortunately, standard natural language… (More)
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