Visual Graph Mining

Graph-based Visual Saliency Model using Background Color

Visual saliency is a cognitive psychology concept that makes some stimuli of a scene stand out relative to their neighbors and attract our attention. Computing visual saliency is a topic of recent interest. Here, we propose a graph-based method for saliency detection, which contains three stages: pre-processing, initial saliency detection and final saliency detection. The initial saliency map i...

Outlier Detection using Graph Mining

A Survey on Algorithms of Mining Frequent Subgraphs

–Graphs are currently becoming more important in modeling and demonstrating information. In the recent years, graph mining is becoming an interesting field for various processes such as chemical compounds, protein structures, social networks and computer networks. One of the most important concepts in graph mining is to find frequent subgraphs. The major advantage of utilizing subgraphs is spee...

Cal Poly Csc 466 Knowledge Discovery in Data Web Structure Mining (and Associates)

Overview Terminology: • Link Analysis: analysis of graph structures. • Web Structure Mining: analysis of the web graph. • Social Network Analysis: analysis graphs representing relationships between humans (social networks).

VisCFSM: Visual, Constraint-Based, Frequent Subgraph Mining

Graphs long have been valued as a pictorial way of representing relationships between entities. Contemporary applications use graphs to model social networks, protein interactions, chemical structures, and a variety of other systems. In many cases, it is useful to detect patterns within graphs. For example, one could be interested in identifying frequently occurring subgraphs, which is known as...