739 search results - page 143 / 148 » Approximate Association Rule Mining |
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Personalization is a ubiquitous phenomenon in our daily online experience. While such technology is critical for helping us combat the overload of information we face, in many cas...
DIS
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. We propose an approach to subgroup discovery using distribution rules (a kind of association rules with a probability distribution on the consequent) for numerical proper...
BMCBI
2008
13 years 7 months ago
2008
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...