504 search results - page 24 / 101 » Clustering Item Data Sets with Association-Taxonomy Similari... |
KDD
2001
ACM
14 years 8 months ago
2001
ACM
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
APWEB
2006
Springer
14 years 5 days ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
BMCBI
2006
13 years 8 months ago
2006
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
AUSAI
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
ICDE
2007
IEEE
14 years 9 months ago
2007
IEEE
This paper introduces a fast data dissemination method for structured peer-to-peer networks. The work is motivated on one side by the increase in non-volatile memory available on ...