Individual and collective graph mining : principles, algorithms, and applications /

Individual and collective graph mining : principles, algorithms, and applications /

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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...

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Bibliographic Details
Main Authors: Koutra, Danai (Author), Faloutsos, Christos (Author)
Format: Book
Language:English
Published: [San Rafael, California] : Morgan & Claypool, 2018
Series:Synthesis digital library of engineering and computer science
Synthesis lectures on data mining and knowledge discovery #14
Subjects:
Data mining
Graph theory > Data processing
Graphic methods > Data processing
anomaly detection
brain graphs
connectomes
data mining
fast algorithms
graph matching
graph mining and exploration
graph similarity
graph summarization
models
network alignment
outlier detection
pattern mining
scalability
social networks
visualization
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Stanford University

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