What is a graph mining?
Graph Mining is the set of tools and techniques used to (a) analyze the properties of real-world graphs, (b) predict how the structure and properties of a given graph might affect some application, and (c) develop models that can generate realistic graphs that match the patterns found in real-world graphs of interest.
What is graph pattern in data mining?
Graph pattern mining is the mining of frequent subgraphs (also called (sub)graph patterns) in one or a set of graphs.
Methods for mining graph patterns can be categorized into Apriori-based and pattern growth–based approaches.What are the applications of graph mining in data mining?
The graph is used in data mining to discover subgraph patterns for discrimination, classification, data clustering, etc.
Graph analysis is a process that uses it.
Graphs can be used to create networks like the internet, computer networks, social networks, etc. by connecting the different nodes.- Graph sampling is a technique to pick a subset of vertices and/ or edges from original graph.
La Catalogne moderniste de Gaudí à Dalí
5CI204
Tableau des profils
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