Graph Mining and Network Analysis
Graph Mining and Network Analysis are fields of study that focus on extracting valuable insights from graph-structured data. Graphs are mathematical structures that represent relationships between entities, with nodes representing entities and edges representing relationships between them.Graph Mining involves applying data mining techniques to analyze large-scale graphs to discover patterns, structures, and trends. This can include identifying communities or clusters of nodes, detecting anomalies or outliers, and predicting missing links or future connections.Network Analysis, on the other hand, focuses on the study of networks to understand their structure, dynamics, and properties. It involves analyzing network topologies, centrality measures, and connectivity patterns to gain insights into the behavior of complex systems.Applications of Graph Mining and Network Analysis are diverse and include social network analysis, biological network analysis, transportation network analysis, and more.
Related Conference of Graph Mining and Network Analysis
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th World Congress on Computer Science, Machine Learning and Big Data
10th International Conference and Expo on Computer Graphics & Animation
Graph Mining and Network Analysis Conference Speakers
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