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• W2765652196 endingPage "206" @default.
• W2765652196 startingPage "1" @default.
• W2765652196 abstract "Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, such as an attack on a computer system, disease formation in the human brain, or the fall of a company?" @default.
• W2765652196 created "2017-11-10" @default.
• W2765652196 creator A5015996266 @default.
• W2765652196 creator A5035605036 @default.
• W2765652196 date "2017-10-26" @default.
• W2765652196 modified "2023-09-27" @default.
• W2765652196 title "Individual and Collective Graph Mining: Principles, Algorithms, and Applications" @default.
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