7 search results - page 1 / 2 » gApprox: Mining Frequent Approximate Patterns from a Massive... |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
KDD
2005
ACM
14 years 5 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...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
KDD
2005
ACM
13 years 10 months ago
2005
ACM
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
SDM
2011
SIAM
12 years 7 months ago
2011
SIAM
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...