Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.3/4080
Title: Big Data in SATA Airline : finding new solutions for old problems
Author: Mendes, Armando B.
Guerra, Hélia
Gomes, Luís Mendes
Oliveira, Ângelo
Cavique, Luís
Keywords: SATA Airlines
Big Data
Issue Date: 8-Aug-2016
Publisher: academia.edu
Citation: Mendes, Armando B.; Guerra, Hélia; Gomes, Luís; Oliveira, Ângelo; Cavique, Luis (2016). Big Data in SATA Airline: Finding New Solutions for Old Problems. "International Journal of Computer Science and Information Security", 14(8): 791–800.
Abstract: With the rapid growth of operational data needed in airlines and the value that can be attributed to knowledge extracted from these data, airlines have already realized the importance of technologies and methodologies associated with the concept of big data. In this article, we present the case study of SATA Airlines. The operational and the decision support systems are described as well as the perspectives of using these new technologies to support knowledge creation and aid the solution of problems in this specific company. The proposed system provides a new operational environment.
Peer review: yes
URI: http://hdl.handle.net/10400.3/4080
ISSN: 1947-5500
Publisher Version: https://www.academia.edu/29085644/Big_Data_in_SATA_Airline_finding_new_solutions_for_old_problems
Appears in Collections:DME - Artigos em Revistas Internacionais / Articles in International Journals

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