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BMCBI
2008
208views more  BMCBI 2008»
13 years 7 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
JGAA
2007
135views more  JGAA 2007»
13 years 7 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
WWW
2007
ACM
14 years 8 months ago
SPARQ2L: towards support for subgraph extraction queries in rdf databases
Many applications in analytical domains often have the need to "connect the dots" i.e., query about the structure of data. In bioinformatics for example, it is typical t...
Kemafor Anyanwu, Angela Maduko, Amit P. Sheth
CIKM
2009
Springer
13 years 11 months ago
Efficient processing of group-oriented connection queries in a large graph
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...
James Cheng, Yiping Ke, Wilfred Ng
KDD
2006
ACM
208views Data Mining» more  KDD 2006»
14 years 8 months ago
Frequent subgraph mining in outerplanar graphs
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Tamás Horváth, Jan Ramon, Stefan Wro...