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Improving tourist experience by Big Data tools

Contributo in Atti di convegno
Data di Pubblicazione:
2015
Abstract:
Due to the emerging Big Data applications traditional data management techniques result inadequate in many real life scenarios. In particular, OLAP techniques require substantial changes in order to offer useful analysis due to huge amount of data to be analyzed and their velocity and variety. In this paper, we describe an approach for dynamic Big Data searching that based on data collected by a suitable storage system, enrich data in order to guide users through data exploration in a efficient and effective way.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Tourist Big Data
Elenco autori:
Cassavia, Nunziato; Masciari, Elio
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/299654
Titolo del libro:
2015 International Conference on High Performance Computing & Simulation, HPCS 2015, Amsterdam, Netherlands, July 20-24, 2015
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URL

http://dx.doi.org/10.1109/HPCSim.2015.7237089
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