Analytics on Luiss teaching staff

Picchia, Anastasia (A.A. 2022/2023) Analytics on Luiss teaching staff. Tesi di Laurea in Big data and smart data analytics, Luiss Guido Carli, relatore Irene Finocchi, pp. 69. [Master's Degree Thesis]

[img]
Preview
PDF (Full text)
Download (9MB) | Preview

Abstract/Index

Dataset analysis. The first data source: website “cerca università”. The second data source: docenti Luiss. Retrieving data from Google Scholar. Short description of Google Scholar. Data extraction from websites. Data processing. Data check/integration. The string similarity problem. Data normalization. Data analytics. Data import and data model setup. Data visualization.

References

Bibliografia: p. 45. Sitografia: p. 46.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Big data and smart data analytics
Thesis Supervisor: Finocchi, Irene
Thesis Co-Supervisor: Italiano, Giuseppe Francesco
Academic Year: 2022/2023
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 11 Jan 2024 17:27
Last Modified: 11 Jan 2024 17:27
URI: https://tesi.luiss.it/id/eprint/37531

Downloads

Downloads per month over past year

Repository Staff Only

View Item View Item