222 search results - page 18 / 45 » Tight results for clustering and summarizing data streams |
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
ASUNAM
2011
IEEE
12 years 7 months ago
2011
IEEE
—In this paper, we study the problem of evolutionary clustering of multi-typed objects in a heterogeneous bibliographic network. The traditional methods of homogeneous clustering...
CIKM
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we devise a method for the estimation of the true support of itemsets on data streams, with the objective to maximize one chosen criterion among {precision, recall}...
STOC
2003
ACM
14 years 8 months ago
2003
ACM
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...