2227 search results - page 23 / 446 » Graph Mining based on a Data Partitioning Approach |
102
click to vote
IEEEPACT
2002
IEEE
15 years 5 months ago
2002
IEEE
This paper presents a new modulo scheduling algorithm for clustered microarchitectures. The main feature of the proposed scheme is that the assignment of instructions to clusters ...
91
Voted
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
112
Voted
PAMI
2006
15 years 10 days ago
2006
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
132
Voted
ICDM
2009
IEEE
14 years 10 months ago
2009
IEEE
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
124
click to vote
KDD
2008
ACM
16 years 25 days ago
2008
ACM
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...