Sistema de recomendação para troca de jogadores na national basketball league
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Tipo
TCC
Data de publicação
2024-12-05
Periódico
Citações (Scopus)
Autores
Amorim, Henrique Lee
Orientador
Sampaio, Gustavo Scalabrini
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Resumo
A National Basketball League (NBA) é a liga norte-americana de basquete e uma das ligas mais célebres globalmente. No contexto atual, a tecnologia e a análise de dados, junto da inteligência artificial, são essenciais para otimizar o desempenho das equipes e jogadores. O presente trabalho propõe desenvolver um sistema de recomendação para trocas de jogadores na NBA, a partir de um estudo minucioso sobre
inteligência artificial, análise e mineração de dados, sistemas de recomendação e suas estratégias/algoritmos para o seu desenvolvimento, além do estudo para a escolha sobre os dados de desempenho, como estatísticas básicas e avançadas, que serão utilizados, visando aprimorar estratégias de recrutamento e formação de equipes vencedoras.Baseando-se nos estudos e conhecimentos obtidos, o desenvolvimento deste sistema proposto, utilizou o algoritmo K-means junto a regras de negócio definidas, técnicas que proporcionaram uma ferramenta robusta, capaz de fornecer sugestões precisas e relevantes para as equipes, assim como realçar a importância do uso da tecnologia, junto dos seus métodos, no âmbito esportivo
The National Basketball League is the North American basketball league and one of the most famous leagues globally. In the current context, technology and data analysis, along with artificial intelligence, are essential to optimize the performance of teams and players. This project proposes to develop a recommendation system for player trades in the NBA, based on a detailed study of artificial intelligence, analysis and data mining, recommendation systems and their strategies/algorithms for their development, in addition to the study for choosing on performance data, such as basic and advanced statistics, that will be used to improve recruitment strategies and formation of winning teams. Based on the studies and knowledge obtained, the development of this system proposed, used the K-means algorithm along with defined business rules, which provided a robust tool, capable of providing accurate and relevant suggestions for teams as well as highlighting the importance of using technology, along with its methods, within the sporting scope
The National Basketball League is the North American basketball league and one of the most famous leagues globally. In the current context, technology and data analysis, along with artificial intelligence, are essential to optimize the performance of teams and players. This project proposes to develop a recommendation system for player trades in the NBA, based on a detailed study of artificial intelligence, analysis and data mining, recommendation systems and their strategies/algorithms for their development, in addition to the study for choosing on performance data, such as basic and advanced statistics, that will be used to improve recruitment strategies and formation of winning teams. Based on the studies and knowledge obtained, the development of this system proposed, used the K-means algorithm along with defined business rules, which provided a robust tool, capable of providing accurate and relevant suggestions for teams as well as highlighting the importance of using technology, along with its methods, within the sporting scope
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Palavras-chave
sistemas de recomendação , análise de dados , aprendizado de máquina , análise esportiva , NBA , recommendation system , data analysis , machine learning , sports analysis