164 search results - page 3 / 33 » Finding Frequent Patterns in a Large Sparse Graph |
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
PAKDD
2010
ACM
14 years 2 months ago
2010
ACM
Abstract. We report a surprising, persistent pattern in large sparse social graphs, which we term EigenSpokes. We focus on large Mobile Call graphs, spanning about 186K nodes and m...
KDD
2005
ACM
14 years 11 months ago
2005
ACM
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
GBRPR
2009
Springer
14 years 5 months ago
2009
Springer
In this paper we propose an inexact spectral matching algorithm that embeds large graphs on a low-dimensional isometric space spanned by a set of eigenvectors of the graph Laplacia...
CIKM
2009
Springer
14 years 5 months ago
2009
Springer
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...