371 search results - page 10 / 75 » Learning to match and cluster large high-dimensional data se... |
LWA
2007
13 years 9 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
GFKL
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
ACST
2006
13 years 9 months ago
2006
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
BMCBI
2007
13 years 7 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
SEMWEB
2009
Springer
14 years 2 months ago
2009
Springer
In this paper we present a scenario for ontology matching posed by the Trentino Riscossioni S.p.A data integration system focusing the opportunity to enhance the level of data inte...