Pubblicazioni

Autori:

Gentilin, Martina; Lovato, Pietro; Menegaz, Gloria; Cristani, Marco; Minozzo, Marco

Titolo:

Graph-based clustering of visitors' trajectories at exhibitions

Anno:

2019

Tipologia prodotto:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Lingua:

Inglese

Formato:

Elettronico

Titolo del Convegno:

CLADAG 2019, 12th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS)

Luogo:

Cassino

Periodo:

11-13 September 2019

Intervallo pagine:

227-230

Parole chiave:

Clustering, Dominant set, Graph theory, Fuzzy method, Trajectory

Breve descrizione dei contenuti:

In this paper we apply graph theory techniques on real data visitors’ paths recorded during an exhibition to detect clusters of stands. We consider in particular the dominant set clustering technique, which finds complete heavy subgraphs in weighted undirected graphs. The resulting overlapping clusters could be used to set a travel recommendation system, identify market segments and assess stand assignment effectiveness.

Pagina Web:

http://cladag2019.unicas.it/book-of-abstracts/

Id prodotto:

110374

Handle IRIS:

11562/1000830

ultima modifica:

4 novembre 2022

Citazione bibliografica:

Gentilin, Martina; Lovato, Pietro; Menegaz, Gloria; Cristani, Marco; Minozzo, Marco, Graph-based clustering of visitors' trajectories at exhibitions  in Book of Short Papers , Atti di "CLADAG 2019, 12th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS)" , Cassino , 11-13 September 2019 , 2019 , pp. 227-230

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