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Authors
Abstract(s)
Esta dissertação consistiu no desenvolvimento de uma aplicação Web de Recolha de Informação de Eventos Desportivos usando Técnicas de Mineração de Dados: Investigação,
Desenho e Implementação de uma Solução Web baseada na Nuvem para a Mixed Creations, um projeto de design desportivo desenvolvido por mim em 2017 que promove
atletas, essencialmente de futebol e futsal, acrescentando-lhes valor através da imagem
desportiva que transmitem para o público. O desporto possui uma grande quantidade de
dados associados, o grande desafio passa por sintetizá-los o mais rápido possível, de forma
a que estes possam ser utilizados pelos utilizadores. Ao observarmos outras empresas ou
marcas que façam o mesmo trabalho que a Mixed Creations, rapidamente chegamos à conclusão que a criação de uma aplicação Web que permita a obtenção de dados relacionados
com desporto (jogadores, equipas e jogos) de forma seletiva e à qual é ainda possível associar cartazes é algo único e que não existe no mercado. Assim sendo, a Mixed Creations
consegue diferenciar-se dos seus concorrentes ao introduzir uma solução Web que implemente um modelo automático e não supervisionado. A mineração de dados segue o
modelo ETL, a extração dos dados é feita através da recuperação de dados contidos na
fonte de informação. Em seguida, é efetuado o processo de tratamento dos dados, terminando com o respetivo carregamento na base de dados. O utilizador quando efetuar
pedidos de dados, estes serão recebidos pela aplicação que através das camadas Model,
View e Controller do padrão MVC implementado vão efetuar as respetivas solicitações
e respostas. No final de todo o processo, o utilizador vai conseguir visualizar os dados
pedidos através de tabelas.
Com a criação da aplicação passou a ser possível a adição, edição e remoção de vários tipos
de dados como equipas, jogadores, jogos e fotografias dos clientes da Mixed Creations à
base de dados. O facto das fotos serem disponibilizadas por links permite o acesso a todo o
histórico de fotos elaboradas para um determinado jogador que participou num determinado jogo sem ocupar memória da base de dados com o tamanho das imagens. A aplicação
foi lançada na nuvem na página http://mixedcreations.herokuapp.com/ [1]. Os trabalhos finais são inseridos na aplicação após serem carregados para a nuvem e depois apenas
é necessário inserir o link do produto final. Os objetivos foram alcançados com sucesso,
sendo criada uma ferramenta inovadora que reduz o tempo dispendido na procura da informação, antes demorava aproximadamente 8 horas semanalmente enquanto agora demoro 2 minutos, e cria todas as condições para o arranque da época desportiva 2020/21.
This dissertation consisted in the development of a Web application for collecting information of sport events using data mining techniques: research, design and implementation of a cloud-based web solution for Mixed Creations, a sport design project developed by me in 2017 which promotes athletes, essentially football and futsal ones, adding value to them through their sport image, that they transmit to the public. Sport has a large amount of associated data, so the big challenge is to synthesize them as quickly as possible, so that can be used by users. When looking at other companies or brands that do the same job as Mixed Creations, we quickly came to the conclusion that the creation of a web application that allows the obtaining of sports-related data (players, teams and games) selectively and which makes possible to associate posters is something unique and does not exist in the market yet. Therefore, Mixed Creations is able to differentiate itself from its competitors by introducing a Web solution that implements an automatic and unsupervised model. The data mining follows the ETL model. Data extraction is done by retrieving data contained in the information source. Then, the data processing process is carried out, ending with the respective loading in the database. When the user requests for data, that will be received by the application which through the layers textit Model, textit View and textit Controller of the implemented MVC standard will make the respective requests and responses. At the end of the entire process, the user will be able to view the requested data through tables. With the creation of the application, it became possible to add, edit and remove various types of data such as teams, players, games and photographs of Mixed Creations customers to the database. The fact that the photos are made available through links allows access to the entire history of photos made for a particular player who participated in a particular game without occupying the database’s memory with the size of the images. The application was launched in the cloud on the page http://mixedcreations.herokuapp. com/ [1]. The final works are inserted in the application after being uploaded to the cloud and then it is only necessary to insert the link of the final product. The objectives were successfully achieved, creating an innovative tool that reduces the time spent (before I usually needed about 8 hours a week, while now it takes 2 minutes only) looking for information and creates all the conditions for the start of the 2020/21 sports season.
This dissertation consisted in the development of a Web application for collecting information of sport events using data mining techniques: research, design and implementation of a cloud-based web solution for Mixed Creations, a sport design project developed by me in 2017 which promotes athletes, essentially football and futsal ones, adding value to them through their sport image, that they transmit to the public. Sport has a large amount of associated data, so the big challenge is to synthesize them as quickly as possible, so that can be used by users. When looking at other companies or brands that do the same job as Mixed Creations, we quickly came to the conclusion that the creation of a web application that allows the obtaining of sports-related data (players, teams and games) selectively and which makes possible to associate posters is something unique and does not exist in the market yet. Therefore, Mixed Creations is able to differentiate itself from its competitors by introducing a Web solution that implements an automatic and unsupervised model. The data mining follows the ETL model. Data extraction is done by retrieving data contained in the information source. Then, the data processing process is carried out, ending with the respective loading in the database. When the user requests for data, that will be received by the application which through the layers textit Model, textit View and textit Controller of the implemented MVC standard will make the respective requests and responses. At the end of the entire process, the user will be able to view the requested data through tables. With the creation of the application, it became possible to add, edit and remove various types of data such as teams, players, games and photographs of Mixed Creations customers to the database. The fact that the photos are made available through links allows access to the entire history of photos made for a particular player who participated in a particular game without occupying the database’s memory with the size of the images. The application was launched in the cloud on the page http://mixedcreations.herokuapp. com/ [1]. The final works are inserted in the application after being uploaded to the cloud and then it is only necessary to insert the link of the final product. The objectives were successfully achieved, creating an innovative tool that reduces the time spent (before I usually needed about 8 hours a week, while now it takes 2 minutes only) looking for information and creates all the conditions for the start of the 2020/21 sports season.
Description
Keywords
Aplicação Web Automático Marketing Desportivo Mineração de Dados Mineração Na Web Mixed Creations Não Supervisionado Nuvem Solução Web