Publications

Authors:

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

Title:

Graph-based clustering of visitors' trajectories at exhibitions

Year:

2019

Type of item:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Language:

Inglese

Format:

Elettronico

Congresso:

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

Place:

Cassino

Period:

11-13 September 2019

Page numbers:

227-230

Keyword:

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

Short description of contents:

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.

Web page:

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

Product ID:

110374

Handle IRIS:

11562/1000830

Last Modified:

November 4, 2022

Bibliographic citation:

Gentilin, Martina; Lovato, Pietro; Menegaz, Gloria; Cristani, Marco; Minozzo, Marco, Graph-based clustering of visitors' trajectories at exhibitions  in Book of Short Papers , Proceedings of "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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