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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-03102022-131957


Tipo di tesi
Tesi di laurea magistrale
Autore
FIORAVANTI, MARTA
URN
etd-03102022-131957
Titolo
Treemob: expressive mobility data representation through tree-based structures
Dipartimento
FILOLOGIA, LETTERATURA E LINGUISTICA
Corso di studi
INFORMATICA UMANISTICA
Relatori
relatore Prof. Guidotti, Riccardo
relatore Prof. Rinzivillo, Salvatore
Parole chiave
  • data mining
  • data visualisation
  • human mobility
  • kdd
  • personal mobility analysis
  • tree based data
  • unsupervised learning
  • visual analytics
Data inizio appello
14/04/2022
Consultabilità
Tesi non consultabile
Riassunto
This thesis proposes a new method to encode personal mobility through tree-shaped structures. In particular, it focuses on a variation of the prefix tree architecture in order to organise the user's movements around a root location, distinguishing between incoming and outcoming paths.
The analysis is supported by an interactive visualisation tool specifically designed and developed by the author, and aims to find patterns in the movements of different users, both directly using the trees and representing them through vectors encoding their features.
The key idea of the work is to focus on the "shape" of the user's mobility rather on the specific locations, opening new possibilities to the analysis, with an eye to privacy preservation, and with the goal to present the content in the most accessible way as possible.
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