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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) 
Lopes, João Ventura & Fiorito, Stefano (2018). Web-Scraping and Data Mining techniques on Geographical Information. 3rd workshop of the Design Computation Summer School 2018.
Exportar Referência (IEEE) 
J. V. Lopes and F. Stefano,  "Web-Scraping and Data Mining techniques on Geographical Information", in 3rd workshop of the Design Computation Summer School 2018, Lisboa, 2018
Exportar BibTeX 
@misc{lopes2018_1768420752738,
	author = "Lopes, João Ventura and Fiorito, Stefano",
	title = "Web-Scraping and Data Mining techniques on Geographical Information",
	year = "2018",
	url = "http://dcgsummerschool2018.fa.ulisboa.pt/index.php/web-scraping-and-data-mining/"
}
Exportar RIS 
TY  - CPAPER
TI  - Web-Scraping and Data Mining techniques on Geographical Information
T2  - 3rd workshop of the Design Computation Summer School 2018
AU  - Lopes, João Ventura
AU  - Fiorito, Stefano
PY  - 2018
CY  - Lisboa
UR  - http://dcgsummerschool2018.fa.ulisboa.pt/index.php/web-scraping-and-data-mining/
AB  - The Web, is a powerful resource of Knowledge and Information were the data is Big, fluid, structured by its nature, and where self learning algorithms interact with the user and between themselves. In this workshop we want to introduce participants to tools and methods that make it possible to automatically collect and learn from this data.
We will teach how to collect data from the World Wide Web and organize information, depicting patterns and extract from these meaningful insights. The exercise will be done on geospatial information and a case study from Portuguese context will be introduced.
ER  -