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Analysing trajectories of mobile users: from data warehouses to recommender systems

Chapter
Publication Date:
2018
abstract:
This chapter discusses a general framework for the analysis of trajectories of moving objects, designed around a Trajectory Data Warehouse (TDW). We argue that data warehouse technologies, combined with geographic visual analytics tools, can play an important role in granting very fast, accurate and understandable analysis of mobility data. We describe how in the last decade the TDW models have changed in order to provide the user with a more suitable model of the reality of interest and we also cope with the challenge of semantic trajectories. As a use case we illustrate how the framework can be instantiated for realizing a recommender system for tourists.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Mobility data; Trajectory analysis; Tour recommendation
List of contributors:
Orlando, Salvatore; Raffaeta', Alessandra; Silvestri, Claudio; Renso, Chiara; Nardini, FRANCO MARIA; Perego, Raffaele
Authors of the University:
NARDINI FRANCO MARIA
PEREGO RAFFAELE
RENSO CHIARA
Handle:
https://iris.cnr.it/handle/20.500.14243/333425
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/333425/113931/prod_381019-doc_136143.pdf
Book title:
A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
Published in:
STUDIES IN BIG DATA
Series
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Overview

URL

https://link.springer.com/chapter/10.1007%2F978-3-319-61893-7_24
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