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KDD
2007
ACM
14 years 11 months ago
2007
ACM
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
KDD
2006
ACM
14 years 11 months ago
2006
ACM
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
KDD
2004
ACM
14 years 11 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
KDD
2010
ACM
14 years 2 months ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...