74 search results - page 5 / 15 » Pattern Mining in Frequent Dynamic Subgraphs |
95
Voted
ICDM
2002
IEEE
15 years 4 months ago
2002
IEEE
We investigate new approaches for frequent graph-based pattern mining in graph datasets and propose a novel algorithm called gSpan (graph-based Substructure pattern mining), which...
109
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EUROCAST
2005
Springer
15 years 5 months ago
2005
Springer
The incorporation of temporal semantic into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especial...
SIGMOD
2010
ACM
15 years 4 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
123
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EDBT
2012
ACM
13 years 2 months ago
2012
ACM
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
97
Voted
CORR
2012
Springer
13 years 7 months ago
2012
Springer
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...