Graph mining. We also saw that the characteristics of graph data can be divided into frequent pattern mining, classification, and clustering
Mining frequent subgraph patterns is done to find the frequent patterns in a set of graphs or a single massive graph
Social network analysis includes a wide range of web applications with broad definitions, such as Facebook, LinkedIn, Google+, StackOverflow, and so on
In the next chapter, we will focus on the major topics related to web mining and algorithms and look at some examples based on them.