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Title:
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APPLICATION OF DATA MINING TECHNIQUES ON OLYMPIC DATA |
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Author(s):
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Eric Chagas Farias, Marco Aurélio Schünke, Paulo Rodrigo Pedroso da Silva and Carlos Mário Dal´Col Zeve |
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ISBN:
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978-989-8533-69-2 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2017 |
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Edition:
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Single |
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Keywords:
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Knowledge Discovery, Data Mining, Olympic Games |
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Type:
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Short Paper |
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First Page:
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245 |
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Last Page:
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250 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This work seeks to explore the current scenario of news related to the Olympic Games of Rio de Janeiro 2016, using the process of knowledge discovery in databases. With the increase of the news divulged in the scope of the olympic sports, it is tried to relate the most diverse adjacent subjects like Olympic with its games in its totality and with this to identify patterns and relations for the vision of the producers of the content in the disclosure of news on games Olympic. The motivation of this analysis is to be able to understand what the current scenario of news related to the Olympics, how much access to this content in relation to the other inserted in the page, which is the content of these publications about each of the related Issues and who is the producer of this content, which feeling about the content and interest in the interrelation of these issues. |
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