AI-fostered graph analysis: network clustering and representation learning: implementation in a business context
Spadaccia, Matteo (A.A. 2023/2024) AI-fostered graph analysis: network clustering and representation learning: implementation in a business context. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 30. [Bachelor's Degree Thesis]
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Abstract/Index
Context. AI-fostered graph analysis. State of the art. Clustering metrics. Network clustering algorithms. Number of clusters choice. Representation learning algorithms. mplementation. Preliminary analysis. Graphs construction. Network clustering. Outcomes analysis.
References
Bibliografia: p. 29.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Artificial intelligence and machine learning |
| Thesis Supervisor: | Italiano, Giuseppe Francesco |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 16 Oct 2024 13:47 |
| Last Modified: | 16 Oct 2024 13:47 |
| URI: | https://tesi.luiss.it/id/eprint/40044 |
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