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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Lousão, S., Ramos, P. & Moro, S. (2020). Back to the past to charter the vinyl electronic market: A data mining approach. In Kohei Arai (Ed.), Advances in Intelligent Systems and Computing. (pp. 685-692). London: Springer.
Exportar Referência (IEEE)
S. Lousão et al.,  "Back to the past to charter the vinyl electronic market: A data mining approach", in Advances in Intelligent Systems and Computing, Kohei Arai, Ed., London, Springer, 2020, vol. 1251, pp. 685-692
Exportar BibTeX
@inproceedings{lousão2020_1732204927577,
	author = "Lousão, S. and Ramos, P. and Moro, S.",
	title = "Back to the past to charter the vinyl electronic market: A data mining approach",
	booktitle = "Advances in Intelligent Systems and Computing",
	year = "2020",
	editor = "Kohei Arai",
	volume = "1251",
	number = "",
	series = "",
	doi = "10.1007/978-3-030-55187-2_49",
	pages = "685-692",
	publisher = "Springer",
	address = "London",
	organization = "",
	url = "https://saiconference.com/Conferences/IntelliSys2020"
}
Exportar RIS
TY  - CPAPER
TI  - Back to the past to charter the vinyl electronic market: A data mining approach
T2  - Advances in Intelligent Systems and Computing
VL  - 1251
AU  - Lousão, S.
AU  - Ramos, P.
AU  - Moro, S.
PY  - 2020
SP  - 685-692
SN  - 2194-5357
DO  - 10.1007/978-3-030-55187-2_49
CY  - London
UR  - https://saiconference.com/Conferences/IntelliSys2020
AB  - This study focuses on perhaps the most iconic media format of all time, the vinyl record. By adopting a data mining approach, the goal is to understand which factors involved in the buying and selling of vinyl, influenced its price, with the initial hypothesis considering record labels and popular rankings to be some of the most contributing variables. To be able to evaluate it, four datasets were created in an endeavor to represent recent and past records of two different genres, Rock and Jazz, by extracting data from Discogs’ marketplace and Billboard’s Hot 100 chart. Such approach unveiled that an artist’s presence in the charts and their labels belonging to one of the ‘Big three’ do not always dictate their records at highest prices. The results also showed that features which measure popularity become more relevant in the ‘era’ where the record’s genre is more popular and that big record labels have been losing market share to an increasing number of independent labels. 
ER  -