243 search results - page 19 / 49 » Scalable mining of large disk-based graph databases |
WLP
2004
Springer
14 years 27 days ago
2004
Springer
Scalable data mining in large databases is one of today’s real challenges to database research area. The integration of data mining with database systems is an essential componen...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
PREMI
2005
Springer
14 years 1 months ago
2005
Springer
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Template...
DATAMINE
2006
13 years 7 months ago
2006
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
EDBT
2009
ACM
14 years 2 months ago
2009
ACM
Currently, a huge amount of biological data can be naturally represented by graphs, e.g., protein interaction networks, gene regulatory networks, etc. The need for indexing large ...