| HAL-Inria | Publications, software ... of Inria's scientists |
Poster communications
Application of sequential pattern mining to the analysis of visitor trajectories
Abstract : In this work, we demonstrate the proof of concept of clustering 254 visitors based on their trajectories in a museum. We used a real dataset from Haifa Museum, where each trajectory is treated as a sequence of itemsets. We applied simACS as a similarity measure between any two sequences.
https://hal.inria.fr/hal-01667442
Contributor : Nyoman Juniarta <>
Submitted on : Tuesday, December 19, 2017 - 1:33:24 PM
Last modification on : Friday, January 29, 2021 - 10:26:02 AM
Contributor : Nyoman Juniarta <>
Submitted on : Tuesday, December 19, 2017 - 1:33:24 PM
Last modification on : Friday, January 29, 2021 - 10:26:02 AM
File
posterBDA.pdf
Files produced by the author(s)