Oct 11, 2008 · Combining the graph theory and algorithms to generate frequent patterns, a new algorithm called Topology, which can mine these graphs ...
Extracting Frequent Connected Subgraphs from Large ... Output: frequent connected graph set. Method: is a set ... Extracting frequent subgraphs from a graph.
Combining the graph theory and algorithms to generate frequent patterns, a new algorithm called Topology, which can mine these graphs efficiently, has been ...
Combining the graph theory and algorithms to generate frequent patterns, a new algorithm called Topology, which can mine these graphs efficiently, has been ...
Jan 28, 2021 · That is to say, the algorithm should be able to first extract the largest unique, complete subgraphs, however many there might be, and then in ...
Missing: Frequent | Show results with:Frequent
Combining the graph theory and algorithms to generate frequent patterns, a new algorithm called Topology, which can mine these graphs efficiently, has been ...
Sep 24, 2018 · Given a Graph G=(V,E) and the integer k > 0 , find k disjunct(? ... maybe not) connected subgraphs G_i=(V_i,E_i) i<=k , so that the sum of GCC ( ...
Mining frequent patterns from datasets is one of the key success of data mining research. Currently, most of the studies focus on the data sets in which the ...
• Corpus Graph: road network. • Query Graph: connectivity patterns. • Vertex: intersections. • Edge: road segments. • Task: What is the frequency of certain ...
The ability to mine and extract dense sub-graphs from massive mobile call graphs has become one of the most challenging problems in an exponentially growing ...