5733 search results - page 8 / 1147 » Clustering Categorical Data |
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Today...
CSDA
2006
13 years 7 months ago
2006
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
PAKDD
2011
ACM
12 years 10 months ago
2011
ACM
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
NIPS
2008
13 years 9 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Many applications require matching objects to a predefined, yet highly dynamic set of categories accompanied by category descriptions. We present a novel approach to solving this...