115 search results - page 7 / 23 » Summarising Data by Clustering Items |
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
CCGRID
2003
IEEE
14 years 20 days ago
2003
IEEE
Decentralized and unstructured peer-to-peer (P2P) networks such as Gnutella are attractive for Internet-scale information retrieval and search systems because they require neither...
INFOVIS
2005
IEEE
14 years 29 days ago
2005
IEEE
Aggregating items can simplify the display of huge quantities of data values at the cost of losing information about the attribute values of the individual items. We propose a dis...
AUSAI
2009
Springer
14 years 2 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
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...