Title :
Improving tourist experience by Big Data tools
Author :
Cassavia, Nunziato ; Dicosta, Pietro ; Masciari, Elio ; Sacca, Domenico
Author_Institution :
ICAR, Rende, Italy
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.
Keywords :
Big Data; data mining; travel industry; Big Data tools; OLAP techniques; data analysis; data exploration; data management techniques; data storage system; dynamic Big Data search; tourist experience improvement; Big data; Data mining; Data warehouses; Indexing; Navigation; Prototypes; Real-time systems; Data Warehousing; ETL; Tourist Big Data;
Conference_Titel :
High Performance Computing & Simulation (HPCS), 2015 International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4673-7812-3
DOI :
10.1109/HPCSim.2015.7237089
