DocumentCode
2028420
Title
Improving tourist experience by Big Data tools
Author
Cassavia, Nunziato ; Dicosta, Pietro ; Masciari, Elio ; Sacca, Domenico
Author_Institution
ICAR, Rende, Italy
fYear
2015
fDate
20-24 July 2015
Firstpage
553
Lastpage
556
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;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing & Simulation (HPCS), 2015 International Conference on
Conference_Location
Amsterdam
Print_ISBN
978-1-4673-7812-3
Type
conf
DOI
10.1109/HPCSim.2015.7237089
Filename
7237089
Link To Document