Advances in Applied Mathematics
Advances in Applied Mathematics
This textbook for upper-year undergraduates and graduates concentrates on mining networks, a subfield within data science. Changes and updates to this edition include: new material and examples on random geometric graphs, new tools and techniques on mining hypergraphs, and a chapter on fairness in network mining models.
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This textbook for upper-year undergraduates and graduates concentrates on mining networks, a subfield within data science. Changes and updates to this edition include: new material and examples on random geometric graphs, new tools and techniques on mining hypergraphs, and a chapter on fairness in network mining models.
